Codiblog
Knowledge from projects, not brochures
We write about what we learn building custom applications, CRM implementations, automation, AEM platforms and IT teams: what things cost, when they're worth it and when to walk away. We write for business owners, CTOs and product owners, as people who build software every day. We cite sources for numbers and refresh articles whose data goes out of date.
Where to start reading?
Planning an application
Next: Custom applicationsChoosing a CRM
Next: CRM implementationAutomating processes
Next: Process automationConsidering Adobe Experience Manager
Next: AEM expertsScaling a team or choosing a vendor
- 1.When IT outsourcing is worth it
- 2.Nearshore or local
- 3.Scaling without losing quality
- 4.Billing models
Running an IT project
Next: How we workFour good places to start
How much does a CRM implementation cost in 2026?
For business owners and heads of sales comparing an off-the-shelf system with a custom one and wanting to know what drives the cost.
Octopus for ŁKS Łódź
The story of a system built for a football club. For anyone who wants to see what such a project looks like from decision to launch.
How AI is transforming the IT industry
A guide to AI in the industry. For CTOs and product owners assessing where AI really helps.
How much does a custom mobile app cost in 2026?
For anyone planning a mobile app who wants to know what sets its price.
All articles
9/20/2026
Nearshoring vs Local Outsourcing — Which Fits Your IT Project?
Nearshoring — working with a provider in a nearby time zone but a different country, such as Poland or CEE for Western European companies — gives lower cost while keeping communication convenient. A local provider gives the lowest communication friction and easy in-person meetings at usually a higher rate. Offshoring (distant time zones) gives the lowest cost but the highest communication overhead — worth considering mainly for well-defined, repeatable tasks. Quick model comparison Model Cost Time zone Communication Best for Local provider Highest Same Easiest, in-person meetings Projects needing frequent direct collaboration Nearshoring (e.g. Poland/CEE for Western Europe) Medium Close (1-3h difference) Good, significant overlap in working hours Most projects — balance of cost and convenience Offshoring Lowest Distant (6h+ difference) Difficult, limited live-conversation window Well-defined tasks without a need for constant sync When does nearshoring make sense? Nearshoring wins when you need real savings compared to a local provider but still want near-local communication — overlapping working hours mean fast answers to questions and live conversation during reasonable hours, without waiting until the next day for a reply from the other side of the globe. Poland specifically offers a strong overlap with Western European business hours and a mature IT talent pool. When does a local provider make sense? When the project needs frequent in-person meetings, tight integration with an on-site internal team, or when the industry/regulations require physical team presence. Cost is higher, but it eliminates communication friction entirely. What actually drives success with an external team? Geographic model is one factor, but not the only one — how to prepare for working with an IT company affects project success more than the provider’s location alone. A nearshore team with a good communication process often outperforms a local provider without clear arrangements from the start. FAQ Is nearshoring always cheaper than a local provider? Usually, but the difference depends on the country — nearshoring from a region with similar cost of living won’t produce big savings, worth checking specifically rather than assuming. How much time zone difference is still workable? In practice, up to about 3 hours allows meaningful overlap in working hours — beyond that, communication starts requiring deliberate scheduling of conversation windows. Does nearshoring mean lower quality than a local team? There’s no direct link between location and quality — quality depends on the specific team and process, not which country they’re based in. Can you combine models — part local team, part nearshore? Yes, that’s a common pattern — e.g. a local project manager as the point of contact, a nearshore development team for cost efficiency. Wondering which model fits your project? Get in touch — we’ll assess it based on your specific case, not a generic rule.
9/20/2026
Migrating from Legacy CMS to AEM — A Step-by-Step Checklist
AEM migrations most often fail not because of the platform itself, but because of an underestimated audit of what’s actually being migrated — content, components, and integrations. This checklist is the order in which it’s worth checking things before a launch date gets set. Before migration Full content audit — how many pages, what types, how many are actually active (not just existing in the database) Component mapping — what repeats across pages, what can become a reusable AEM component vs. what’s one-off Asset audit (DAM) — volume of photos/video, current folder structure, metadata to carry over Integration list — CRM, marketing automation, e-commerce — what connects to the current CMS and how Content owners on the client side — who will manage AEM after launch, what skills they have today During architecture planning Information architecture designed for multiple brands/markets, even if there’s only one today — changing this later is expensive Component library defined once, not built ad-hoc for every new page URL and redirect strategy — old addresses need 301s to new ones, or you lose SEO ranking overnight During data migration Structured migration, not manual copying — a migration script/tool, not copy-paste by the team Post-migration validation — a sample of pages checked manually, not just an automated „success” report SEO metadata preserved — meta title, description, alt text, structured data (schema.org) carried over, not reset to defaults Before going live Phased rollout — region by region or brand by brand, not one big cutover Rollback plan — the ability to quickly revert to the old system if something goes wrong Traffic and SEO ranking monitoring post-launch — the first days/weeks after migration are when redirect or indexing problems surface For more on AEM itself and when it’s worth migrating in the first place, see our AEM guide for business. FAQ How long does a typical AEM migration take? Depends on scale, but for a mid-size company with multiple brands, realistically several months, including audit, architecture, and phased rollout. Does migrating to AEM always mean losing SEO rankings? Not necessarily, if redirects and metadata are carried over correctly — ranking loss usually comes from skipped steps (missing 301s, reset metadata), not the platform switch itself. Can you migrate gradually, section by section? Yes, phased rollout (region by region, brand by brand) is the recommended practice, not a one-time cutover of the entire site. Who should be involved in the pre-migration audit? The technical team (architecture, integrations) together with content owners on the client side — the dev team alone doesn’t have a full picture of which content actually matters. Planning an AEM migration and need someone to run the audit? Get in touch — we’ll start with exactly this checklist, applied to your data.
9/20/2026
Key Technology Trends in 2026
2026 marks the shift from experimenting with AI to actually embedding it in company architecture — not another wave of novelty to test, but the point where you need to decide what actually brings value to your business versus what’s noise from analyst reports. AI as a foundation, not an add-on Major analyst firms (Capgemini, Deloitte) describe 2026 as the year AI stops being an isolated experiment and becomes part of system architecture — not a separate tool bolted on, but a layer built into how systems operate. For a smaller company, that means in practice: AI in data classification, decision automation, customer service — not as an add-on to sell, but as how the system works. Intent-driven development instead of manual coding More development tools are shifting toward „express what you want to achieve” while the system picks the implementation — instead of writing every line by hand. This doesn’t mean the end of programming, but a shift in the developer’s role from „writing code” to „defining and verifying the outcome.” For companies commissioning software: faster delivery of simpler elements, but still a need for an experienced team to verify what was built is safe and sound. Cloud 3.0 — more than one cloud provider Companies increasingly combine several cloud providers and hybrid architectures instead of sticking to one — partly for cost reasons, partly due to data sovereignty requirements (where data is physically stored). This changes how integrations are designed — less dependence on a single vendor, more abstraction layers between the system and the infrastructure underneath. Intelligent Ops (agentic operations) Company operational systems — monitoring, incident response, resource management — increasingly have an agentic layer that doesn’t just alert on a problem but takes the first remediation steps within defined boundaries. This extends the agentic automation trend (see our post on types of process automation) into the infrastructure layer, not just business processes. What actually applies to a smaller company? Trend Applies to large corporations Applies to a small/mid-size company AI as an architecture foundation Yes, full transformation Partially — select processes, not the whole system Intent-driven development Yes, large dev teams Yes, faster delivery of simpler features Cloud 3.0 (multi-cloud/sovereign) Yes, regulatory and scale concerns Rarely — usually not enough scale to justify the complexity Agentic operations Yes Partially — worth starting with one process, not entire infrastructure FAQ Does a small company need to keep up with all 2026 trends? No — most of the major trends (Cloud 3.0, full AI architecture transformation) apply to a scale smaller companies don’t have yet. Pick one or two trends that genuinely fit your situation instead of chasing everything at once. How is „AI as a foundation” different from just using AI? Regular use is adding a chatbot or AI tool alongside existing processes. Foundation means AI logic is built into how the system makes decisions — deeper integration, not a layer on top. Is it worth investing in Cloud 3.0 solutions now? For most smaller companies — not yet. Multi-cloud complexity makes sense at real scale or with specific regulatory requirements, not as a trend to adopt because everyone’s writing about it. How do you start with agentic operations without a big budget? With one well-defined process (e.g. monitoring and first response for one incident type), not the entire infrastructure at once — the same framework as any automation. Wondering which of these trends actually matter for your company? Get in touch — we’ll go through it concretely, without selling you everything at once.
9/17/2026
Self-hosting vs cloud: what should you choose for your business system in 2026?
Self-hosting makes sense when data must stay under full company control (GDPR, B2B contract clauses, regulated industries) and when system load is stable and predictable. Cloud wins with variable load, short-term projects, and no in-house team to maintain infrastructure. There’s no single right answer — the decision comes down to what matters more: full control and a predictable fixed cost, or zero operational responsibility at the price of vendor dependency. What’s the difference between self-hosting and the cloud? Self-hosting means running an application on a server the company fully controls — its own (on-premise) or a leased VPS/dedicated server managed directly or by an implementation partner. The cloud (AWS, Azure, GCP and their SaaS equivalents) hands infrastructure management to the vendor in exchange for usage-based billing and no server responsibility. The difference isn’t just technical. It’s a choice between two risk models: with self-hosting, the company takes on maintenance (patching, backups, monitoring) in exchange for full control over data and cost. In the cloud, the vendor takes on those duties, but the company loses some control and exposes itself to rising cost at scale and to lock-in. When does self-hosting pay off? Self-hosting makes sense when at least one condition holds: data is subject to specific requirements (GDPR, contracts with data-localization clauses, financial/healthcare sectors), system load is stable and predictable (a fixed server cost beats usage-based billing at large, continuous scale), or the company already has a team capable of maintaining the infrastructure (in-house or external, e.g. under a Dedicated Team model). A growing argument in 2026: the tension between GDPR and the US CLOUD Act. Data stored with a US-based vendor — even physically on servers in the EU — can be subject to US authorities’ access requests, which for some companies (especially in regulated sectors) is unacceptable regardless of price. When does the cloud pay off? Photo: Growtika / Unsplash The cloud wins when load is variable and hard to predict (seasonality, rapid growth, an MVP without an established scale), when the company doesn’t have and doesn’t want to build in-house operational competence (patching, 24/7 monitoring, incident response), or when the project is short-term and the cost of standing up its own infrastructure wouldn’t pay off. The cloud also has an edge where higher-level managed services are needed (managed AI/ML, elastic databases, global CDN) — rebuilding those yourself would cost more than just hosting the application. Self-hosting vs cloud — comparison Criterion Self-hosting Cloud Data control Full — data physically on your/chosen server Limited — depends on vendor jurisdiction and policies Cost model Fixed (server), predictable regardless of traffic Variable, grows with load and number of services Operational responsibility On the company (or a maintenance partner) On the cloud vendor Scaling Manual or planned, requires advance preparation Automatic, on-demand Lock-in risk Low — easier to migrate between servers Higher — managed services are harder to move GDPR / sector compliance Easier to demonstrate and audit Requires extra vendor verification and DPAs GDPR, the AI Act, and data sovereignty — why this matters in 2026 Since August 2, 2026, the AI Act applies in full, with penalties reaching 7% of global turnover for prohibited AI practices. For companies deploying systems with AI components (e.g. process automations with classification or content generation), the location and control of data processed by the model stops being a purely technical question — it becomes a compliance question. On top of that, the EU Data Act bans charging for moving data between cloud providers starting January 12, 2027 — a signal that regulators treat cloud lock-in as a problem worth intervening on. Self-hosting doesn’t eliminate every compliance obligation, but it significantly simplifies showing exactly where data physically lives and who has access to it. The hidden costs of both models The hidden cost of self-hosting is time — patching, monitoring, responding to outages at night, unless that’s outsourced. The hidden cost of the cloud is bills that grow faster than the value they deliver: data transfer (egress) fees, extra managed services enabled „along the way,” and migration cost if you need to switch vendors. A real decision doesn’t compare the price of a server against a cloud instance — it compares total cost of ownership (TCO) across both models, including team time and downtime risk, the same approach we use when estimating how much CRM implementation costs: the total matters, not the entry price. What self-hosting looks like in practice At Codari we deploy custom applications and automations on the client’s own self-hosted infrastructure, choosing the server and management approach based on the project’s scale and compliance requirements — with a focus on predictable monthly cost, full data control, and deployment simplicity close to a PaaS (repository-based deploys, automatic SSL, container isolation). It’s a middle path: self-hosting without the operational overhead of classic on-premise. How to make the decision Classify your data. Check whether the system will process data subject to specific requirements (GDPR, sector regulations, customer contract clauses). Estimate the load. Stable, predictable load tips the scale toward self-hosting; variable, hard-to-forecast load tips it toward the cloud. Calculate TCO, not just infrastructure price. Include team maintenance time (self-hosting) and real usage bills plus add-on fees (cloud). Check who will actually maintain the infrastructure. Self-hosting without a team able to maintain it is a bigger risk than any cloud cost. Leave yourself an exit. Whatever you choose, avoid an architecture that blocks migration — that’s the most expensive mistake to fix later. FAQ Is self-hosting cheaper than the cloud? It depends on scale and load pattern — with stable, predictable traffic self-hosting is usually cheaper long-term; with variable load the cloud avoids paying for unused capacity. Is self-hosting GDPR-compliant? Self-hosting alone doesn’t guarantee compliance — you still need proper security, backups, and procedures. It does make it easier to demonstrate where data physically lives and who can access it. Can you combine self-hosting with the cloud? Yes — a hybrid model is common: sensitive data and the system’s core self-hosted, supporting services (CDN,
9/15/2026
Zoho vs Dedicated CRM vs HubSpot — Which CRM to Pick in 2026?
Zoho fits small and mid-sized companies looking for a fast start at a low entry cost. HubSpot suits teams that are heavily inbound/marketing-driven and ready to pay more for a ready-made ecosystem. A dedicated CRM makes sense when the process is non-standard, the user count is growing, and you don’t want to pay a growing license forever. Pricing model — who charges what System Model Price (per user/month) Entry point Dedicated CRM Open-source, dedicated build No license fees — implementation quoted individually Higher (requires implementation) Zoho CRM SaaS from $14 (Standard) to $52 (Ultimate) Low (free tier up to 3 users) HubSpot Sales Hub SaaS Starter $15-20/seat, Professional $90-100/seat (+ onboarding ~$1,500), Enterprise from $150/seat (+ onboarding $3,500-6,000) Medium-high from Professional up Prices per vendor pricing pages, August 2026, in USD — verify current rates before deciding, vendors change pricing regularly. Full breakdown of what actually drives a dedicated CRM’s implementation cost in our CRM implementation cost guide. Data control and customization This is where the gap is widest. Zoho and HubSpot are closed SaaS platforms — data lives on the vendor’s infrastructure, customization is limited to what the panel and API expose. A dedicated CRM is open code — full control over data location and unrestricted modification, but maintenance responsibility sits with you (or your implementation partner). Time to launch — from zero to running Zoho — the free tier works instantly; paid plans with basic configuration take days, not weeks. HubSpot — Starter is similarly fast; Professional/Enterprise requires onboarding (hence the one-time onboarding fee from the vendor). Dedicated CRM — weeks, because it’s a dedicated build: process workshop, configuration, integrations, data migration. Which system for which company Situation Recommendation 1-5 person team, standard sales process Zoho — lowest entry point Heavily inbound/content-driven company with budget for tooling HubSpot — marketing+sales ecosystem in one Non-standard process, growing team, data requirements Dedicated CRM — one-time cost instead of a growing license Company building its own platform on top of a CRM Dedicated CRM — a framework, not just a contact database A closer look at when a dedicated build actually makes sense — in our separate dedicated CRM review. See how this looks in practice in our ŁKS Łódź implementation case study. FAQ Which CRM is cheapest to start with? Zoho has a free plan for up to 3 users — the lowest entry point of the three. A dedicated CRM has no license fees, but requires a paid implementation from day one. Which CRM is cheapest long-term for a large team? Usually a dedicated CRM — SaaS licenses grow linearly with user count with no ceiling, while a one-time open-source implementation cost doesn’t. Can data be moved between these systems? Yes, each one supports export/import (CSV, API) — migration is possible in either direction, though complexity depends on how much customization exists in the source system. Which of these systems integrates best with marketing tools? HubSpot, since that’s its natural environment (Marketing Hub in the same ecosystem). Zoho and a dedicated CRM need API integrations with external marketing tools. Not sure which CRM fits your case? Get in touch — we’ll compare it against your actual requirements, not generic claims.
9/15/2026
Business Process Automation in 2026 – Where to Start
Business process automation in 2026 isn’t a one-off project — it’s the ongoing work of connecting repeatable tasks to systems that make decisions, not just follow instructions. The best starting point is one specific, high-volume process (lead classification, notifications), not automating „everything at once.” What’s actually changed in process automation Classic automation (RPA, simple „if X then Y” rules) still works, but in 2026 an agentic layer sits on top of it — AI systems that analyze context and make decisions within defined boundaries, not just execute a rigid script. Where to start automating in your company Pick one high-frequency process — repeatable, measurable, with a clear entry and exit point. Measure your starting point — how much time/effort it costs today. Build a proof of concept, not the final system — a small, testable slice. Measure the result before scaling — take on the next process once the first one works. What’s worth automating first Process Why it’s a good candidate Typical tool Lead classification and routing High frequency, clear rules + context to analyze CRM + AI classification Internal notifications Simple rules, big impact on response time Workflow in CRM Document generation (quotes, confirmations) Repeatable template, easy to measure Templates + automation Data sync between systems Eliminates manual re-entry, reduces errors API/webhook integrations What to avoid when automating processes Automating a broken process — automation locks in the mess instead of fixing it. No human-in-the-loop on higher-stakes decisions — irreversible actions still need a human checkpoint. Building everything at once — no baseline to measure against. Ignoring governance — an audit trail matters more as AI’s share grows. FAQ Which process is best to automate first? One that’s high-volume and measurable. Does AI automation replace people in the process? It shouldn’t on higher-stakes decisions. How long does automating one process take? Usually weeks, not months, for a proof of concept. Can process automation be built without a dedicated CRM? Yes, through automation tools connecting existing systems. Not sure which process to automate first? Get in touch — we’ll help you pick a starting point with a real return.
9/9/2026
Octopus for ŁKS Łódź: How We Built the Club’s „Digital Brain”
Octopus is an integration layer built by Codari for ŁKS Łódź, connecting the club’s sales, marketing, business, and operational data into one system. Instead of scattered tools (CRM, ticketing, forms, digital channels), the club has a single source of truth about each fan and their activity — updated in real time. What problem were we solving? A sports club generates data in many places at once: ticket and season-pass sales, digital channel activity, lead-capture forms, B2B relationships with sponsors. Without a shared integration layer, that data lives apart — and the club has no full picture of who its fans actually are or how to talk to them. ŁKS Łódź set out to build one consistent database covering a community already numbering in the tens of thousands of fans, with room for advanced segmentation and messaging tailored to different fan groups. Architecture: why middleware, not another off-the-shelf system Codari designed Octopus as an integration layer (middleware), not another monolithic system. The key architectural decision: integrations don’t connect directly to each other (e.g. form → CRM) — they all pass through Octopus, which normalizes the data and routes it onward. The whole thing is built modularly, like building blocks, where each component can be swapped independently of the rest. That gives the club one point of control, independence from any single technology vendor, and the ability to plug in new data sources without rewiring the whole architecture. Approach: a central contact database tied to an automation engine that routes data from forms, sales, and digital channels into one place — fully under the club’s control. FanScore — how we measure fan engagement Part of Octopus is FanScore — a model that scores each fan’s engagement level based on several signals at once: stadium attendance, purchase activity, and digital-channel interactions. Combined with psychographic analysis, it’s used to build concrete fan personas and tailor marketing communication to them, instead of sending the same message to the entire base. What Octopus actually connects Central fan database — contacts and segmentation. Sales and ticketing — ticket and season-pass data flows into the same database as the rest of a fan’s activity. Forms and activations — data capture from offline and online campaigns, with automatic routing and field mapping into contact records. Analytics environment — management dashboards to track the club’s business results in real time. B2B data — sponsor and partner relationships live in the same database as fan data. The result The club moved from scattered, disconnected tools to one extensible data platform. Instead of „where do I find this information” — one source of truth, kept up to date, with room to add new data sources and features without rewriting the architecture from scratch. Area Before Octopus With Octopus Fan data Scattered across several systems One consistent database Sales and ticketing Separate system, disconnected from the rest of fan data In the same database as the rest of fan activity Segmentation Manual, limited Advanced, driven by FanScore Reporting Scattered per department Shared dashboards for management and every department New data sources Required rewiring the architecture Plugged in without rebuilding the system FAQ What is Octopus? Octopus is an integration layer built by Codari for ŁKS Łódź, connecting the club’s CRM, ticketing system, forms, and analytics data into one system. How does data integration work inside Octopus? Octopus acts as a middleware layer — no source connects directly to the central database. Data is normalized and routed through the shared integration layer, giving the club a single point of control. Can Octopus be extended with new integrations? Yes — that was a core architectural decision. New data sources and features can be added without rebuilding the whole system, because integrations pass through the shared middleware layer rather than connecting directly. Does a similar solution make sense for a smaller company, not just a sports club? Yes. Middleware connecting CRM, forms, ticketing/sales, and process automation works anywhere data lives across several disconnected systems — dealer networks, service businesses with multiple lead channels, event organizations. What is FanScore? A model that scores fan engagement based on stadium attendance, purchase activity, and digital interactions — combined with psychographic analysis, it’s used to build fan personas and tailor communication to them. Have a similar problem — data scattered across several systems with no shared view? Get in touch — we’ll show you how it works in practice using Octopus as the example.
9/8/2026
Is a Dedicated CRM Worth It in 2026? Review and Who It’s For
A dedicated CRM is a solution built on open-source code — no license fees for the software itself, a modular architecture, and a REST API for integrations. It fits companies that want full control over their data and process and don’t want to pay a growing per-user subscription. It doesn’t fit teams that want an out-of-the-box rollout with zero implementation work. What is a dedicated CRM, exactly? It’s a CRM built on open-source code — fully under the control of the company implementing it, with no license restrictions. In practice that means three things: no fees for the software itself, full ownership of your data (the system lives wherever you put it), and the ability to extend it with custom entities, fields, and automations without waiting on a vendor. Good implementations lean toward a single-page application (SPA) interface — fast, minimalist, with a short learning curve. Who does a dedicated CRM make sense for? Companies with a non-standard sales process — if your process doesn’t fit ready-made SaaS templates, a dedicated CRM lets you build exactly what you need instead of working around a tool’s limits. Teams above a dozen or so users — at higher user counts, the growing cost of SaaS licenses starts to outweigh the one-time cost of an open-source implementation. Companies with data-location requirements — full control over where data physically lives matters for GDPR and contracts with compliance-sensitive clients. Companies building their own platform on top of a CRM — a dedicated CRM isn’t just a contact database, it’s a foundation for business applications (entities, relationships, workflows) — a real base for larger systems. Who doesn’t a dedicated CRM make sense for? 1-3 person teams with no implementation resources — a free Zoho-style SaaS plan is live in an hour; a dedicated CRM requires real configuration work. Companies wanting zero infrastructure responsibility — open-source means updates, security, and maintenance sit with you (or your implementation partner), not with a single SaaS vendor. Teams needing instant integrations across a whole ecosystem — established SaaS tools (HubSpot, Salesforce) ship with hundreds of off-the-shelf integrations; a dedicated CRM has a solid REST API, but integrations need to be built. Dedicated CRM vs. a typical SaaS CRM Criterion Dedicated CRM (open-source) Typical SaaS (Zoho/HubSpot) License fees None Grow with user count Time to start Weeks (implementation) Hours (self-service) Data control Full Limited to vendor’s panel Customization Unlimited (open code) Within vendor’s plan/API Maintenance On the company/implementation partner On the SaaS vendor Ready-made integrations Need to be built Often available out of the box What a real dedicated CRM implementation looks like Process workshop — mapping the actual sales/service process, not copying default entities. Entity and field configuration — matching the data structure to how the team actually works. Automations and workflows — business rules, notifications, lead classification. Integrations — email, phone, forms, external systems via REST API. Data migration and team training. FAQ Is a dedicated CRM suitable for a small business? Yes, if you have at least a minimal implementation budget — the software itself costs nothing, but configuring it for a real process is work, not self-service. Does a dedicated CRM have a mobile app? Good implementations have a fully responsive interface (mobile-friendly), accessible through a browser on mobile devices. Can a dedicated CRM be integrated with an automation tool? Yes — the REST API is usually straightforward to connect to automation tools; it’s one of the more common implementation patterns. How does security work in a dedicated CRM? Good systems have roles, permissions, and audit logs built in, but responsibility for maintenance (updates, hardening) sits with the implementing company or service provider. Wondering if a dedicated CRM fits your process? Get in touch — we’ll give you a straight assessment either way.
9/8/2026
How Much Does CRM Implementation Cost in 2026?
CRM implementation cost depends mainly on which platform you pick. Ready-made SaaS tools (Zoho, HubSpot, Salesforce) publish their license pricing openly — anywhere from a few dollars to a few hundred per user per month, depending on the plan. A dedicated build has no off-the-shelf price tag — cost depends on integration scope, automation, and data migration, and gets quoted individually after a process review. What drives the cost of a CRM implementation? Price isn’t the „system” itself — it’s the work around it. The biggest cost drivers: Platform choice — open-source carries no license fees for the software itself; SaaS (Zoho, HubSpot, Salesforce) has a lower entry point but scales with user count. Integrations — email, phone/call center, accounting systems, Facebook Lead Ads, forms. Every integration is real work. Process automation — workflows, lead classification (including AI), notifications. Data migration — the messier the source data, the more work it takes. Users and roles — permissions, views, per-team reporting. Training and post-launch support. What do popular CRM systems cost (license pricing)? System Model License price (per user/month) Best for Dedicated CRM Open-source, dedicated build No license fees — implementation quoted individually Companies wanting full control, custom integrations, no per-user fees Zoho CRM SaaS from $14 (Standard) to $52 (Ultimate) SMBs, fast start, Zoho ecosystem (Campaigns, Books) HubSpot Sales Hub SaaS Starter from $15-20/seat, Professional $90-100/seat (+ one-time onboarding ~$1,500), Enterprise from $150/seat (+ onboarding $3,500-6,000) Marketing-driven, inbound teams Salesforce Sales Cloud Enterprise SaaS Starter $25, Pro Suite $100, Enterprise $175, Unlimited $350/user Large organizations, complex processes, bigger budgets Prices per vendor pricing pages, August 2026, in USD — verify current rates before deciding, vendors change pricing regularly. SaaS or a dedicated build — which pays off? Short version: standard processes and a fast start point to SaaS. A specific workflow, heavy integration needs, and reluctance to pay a growing per-user fee forever point to a dedicated build — it pays off over a longer horizon since there are no license fees that grow with headcount. The math is simple: SaaS means a low starting cost but a fixed, growing bill, multiplied by every user, with no ceiling. A dedicated build means a higher one-time cost but no ongoing license fees. At larger teams and a multi-year horizon, the gap becomes significant. We run the exact comparison for your case — with real numbers — at the quoting stage, since it depends on scale and integration scope. How does a CRM implementation work, step by step? Workshop and process mapping — what the system actually needs to do, roles, data. Platform and architecture choice — SaaS vs. dedicated build, integrations. Configuration and customization — entities, fields, views, permissions. Integrations and automation — email, phone, Lead Ads, workflow automation. Data migration — cleanup, mapping, import. Testing and team training. Production rollout and support. An example from our own work: Octopus for ŁKS Łódź For ŁKS Łódź, a Polish first-division football club, we built Octopus — an integration layer connecting CRM, ticketing, and fan data in one place. It wasn’t an off-the-shelf pick: the club’s processes (ticket sales, fan handling, B2B data with sponsors) needed a dedicated middleware architecture. The result: one source of truth instead of scattered tools. Full case study: Octopus for ŁKS Łódź FAQ Is SaaS licensing always cheaper than a dedicated build? At the start, yes — SaaS has a lower entry point. Over a longer horizon and with more users, the growing per-user license cost can outweigh the one-time cost of a dedicated open-source build. Is a dedicated CRM really free? The software itself, yes — no license fees. You pay for implementation and configuration, quoted individually based on scope. How long does a CRM implementation take? Depends on integration scope and data migration — from a simple SaaS setup measured in weeks to a full dedicated build with integrations measured in months. Can a CRM be integrated with a call center and Facebook Lead Ads? Yes. These are standard integrations — we build them with automatic lead classification. Need a CRM implementation quote for your specific processes? Get in touch — you’ll get a real quote for your scope, not generic ranges.
1/30/2026
Codari and ŁKS Łódź: A New Dimension of Technology Partnership
We are thrilled to announce that Codari has officially joined the sponsors and partners of Łódzki Klub Sportowy! This new Codari–ŁKS Łódź partnership is a source of great pride for us and a confirmation of our local identity. As a Łódź-based software house for whom technology is a passion and client success is the priority, we believe that partnering with a club of such rich history and ambition is a natural step in our growth. Learn more about our mission on our About us page. Codari and ŁKS Łódź: shared values in technology and sport In business, just like on the pitch, precision, reliability, and teamwork are what matter. At Codari, we design modern dedicated applications and IT systems every day that help our clients win in their industries. Today we’re bringing that same energy and full commitment to the business community around the club. We also encourage you to follow the team’s results on the official ŁKS Łódź website. ŁKS is a club with more than a hundred years of history — a two-time Polish champion, a symbol of Łódź sport and its relentless drive for the highest goals. Those values — ambition, determination, and teamwork — are exactly what we hold close. Our team supports and respects each other and takes real joy in working together, creating an atmosphere of collaboration, passion, and excellence. We want to be a leader in building innovative IT solutions that change how companies operate and drive their growth. Experience that builds trust Our foundation is more than 20 years of experience managing complex IT projects, including work for the financial sector and international brands such as UniCredit. As experts in our field, we specialize in: We start every project with a deep understanding of the business need behind it. We believe there’s no one-size-fits-all approach — that’s why we focus on individual solutions that deliver real, measurable results. Playing for the same goal The partnership with ŁKS is more than a logo on the stadium for us. It’s an expression of our support for the local sports community and our commitment to building lasting relationships built on honesty, reliability, and innovation. We’re proud to support the „Knights of Spring” on their way to future success. An exciting time lies ahead of us — both in the world of new technology and on the pitch. Codari — a software house from Łódź. Technology built for business growth. Now also in ŁKS colors!
9/22/2025
MVP Workshops — How to Plan and Run Them Effectively?
An effective MVP workshop is a one- to multi-day session where the team jointly defines the minimum set of features that solve the user’s core problem, prioritizes them using MoSCoW or an Impact/Effort matrix, and ends with a concrete action plan. A well-run workshop protects against the most common mistake — overloading the first version of a product with features it doesn’t need yet. What is an MVP in the context of workshops? An MVP (Minimum Viable Product) combines three aspects: market desirability, technical feasibility, and business viability. An MVP workshop is a structured session where the product team jointly decides what goes into the first version. Goals of an MVP workshop: Defining the minimum feature set that solves the core problem Prioritizing features by business value and effort Setting measurable success metrics Creating a post-MVP roadmap Building shared understanding across the team How do you plan an MVP workshop step by step? Before the workshop: define the goal and expected outcomes, identify key participants (business, UX, tech, marketing), prepare materials, book a space, send the agenda in advance. Session structure: Stage Duration Goal Tools Intro and warm-up 30 min Present goals, break the ice Presentation, icebreaker exercises Understanding the problem 60 min Define the problem and user needs Personas, empathy maps, interviews Brainstorming 90 min Generate feature ideas Sticky notes, whiteboards Prioritization 60 min Select key MVP features MoSCoW matrix, Impact/Effort Prototyping 120 min Sketches or MVP prototypes Paper, prototyping tools Action plan 60 min Next steps and ownership Action plan template, timeline Participants: key — Product Owner, UX/UI Designer, developers/architects, business representative, marketing. Optional — client representatives, data analysts, Scrum Master. How do you prioritize features in an MVP workshop? MoSCoW method — categorize: Must have, Should have, Could have, Won’t have. Impact/Effort matrix — four quadrants: high impact/low effort (priority), high impact/high effort (important), low impact/low effort (quick wins), low impact/high effort (skip). Prototyping tools: Prototype type Tools When to use Paper Cards, markers, sticky notes Early concept stage Digital lo-fi Figma, Sketch, Miro After initial validation Interactive InVision, Adobe XD, Axure Before starting development Coded MVP Web frameworks, no-code Final validation before full build Assumption-testing techniques: usability tests, user interviews, A/B testing, competitive analysis, fake door testing. How do we build MVPs at Codari? For our own products (like FitLead, our SaaS platform for personal trainers), we follow the same rule as in client workshops: start with one feature that solves a real problem, not a full wishlist. Scope expands only after the first version has actually validated assumptions with real users — not based on what „would be nice to have.” What are the most common mistakes in MVP workshops? Planning: an overly ambitious agenda, unclear goals, poor participant selection, insufficient material prep. Facilitation: one person dominating the discussion, no timeboxing, ignoring conflict, not documenting decisions. Defining the MVP: Feature creep — adding features „just in case” Perfectionism — chasing an ideal product instead of a minimal working one Ignoring user feedback — relying only on internal team opinions No measurable success criteria Too technical a focus — centering on technology instead of the user’s problem Ready-made MVP workshop templates Field-tested materials, ready to download: MVP workshop agenda template User persona template MoSCoW prioritization matrix Lean Canvas MVP hypothesis template Full workshop template pack FAQ How long do MVP workshops take? Usually one full day (about 7 hours with breaks) for a smaller product; more complex projects spread across 2-3 days following the staged structure above. Who should attend an MVP workshop? At minimum: Product Owner, UX/UI Designer, a developer or architect, a business representative. The more perspectives at the start, the fewer surprises during development. How is an MVP workshop different from a regular brainstorm? An MVP workshop has a structured process leading to a concrete action plan — brainstorming is just one stage, not the whole workshop. Can MVP workshops be run remotely? Yes, tools like Miro, Mural, or FigJam can replicate every stage (brainstorming, prioritization, prototyping) remotely just as effectively. Are MVP workshops the same as project workshops? They are closely related: project workshops is the broader term for sessions where a team sets the scope and priorities of a whole project, while MVP workshops are the variant focused on the minimal feature set of a product’s first version. Need support running an MVP workshop? Get in touch — our facilitators will help plan a session tailored to your project.
5/25/2025
IT Project Management Methodologies — Scrum, Kanban, or Waterfall?
Scrum works for products developed continuously with an uncertain scope, Kanban for work with a continuous inflow of tasks without fixed sprints, and Waterfall for projects with a clearly defined, stable scope from the start (e.g. regulatory requirements). Choosing a methodology isn’t a matter of trend — it depends on how much your project’s scope can change along the way. How do Scrum, Kanban, and Waterfall differ? Methodology Work structure Scope change mid-project Best for Scrum Fixed-length sprints (1-4 weeks), planned at the start of each Possible between sprints, not mid-sprint Continuously developed products, uncertain scope Kanban Continuous flow of tasks, work-in-progress (WIP) limit Possible anytime, no fixed cycles Support teams, maintenance, teams with a continuous inflow of requests Waterfall Sequential phases — analysis, design, build, test, deploy Costly, requires formal change control Projects with a stable, clearly defined scope (regulations, fixed-price contracts) When should you choose Scrum? Scrum makes sense when you’re building something whose final shape emerges along the way — a new product, a feature that needs testing with real users. Regular sprints give you checkpoints to change direction without waiting until the project ends. When should you choose Kanban? Kanban fits where work arrives irregularly and can’t be meaningfully boxed into sprints — support teams, system maintenance, teams handling many small requests at once. A work-in-progress (WIP) limit prevents overload without a rigid schedule. When should you choose Waterfall? Waterfall makes sense when scope is known and stable from the start — regulatory projects, fixed-price contracts with a detailed spec, systems where mid-build change costs more than careful upfront planning. Rarely used in pure form in digital products today, more common in large integration or enterprise implementation projects. Can methodologies be combined? Yes, and in practice most teams do — for example, Scrum at the product team level, Kanban for the support team handling requests for the same product. On the Octopus CRM implementation for a football club, we used an iterative approach closer to Scrum during the build phase, with Kanban elements for ongoing support after launch — a different rhythm for different phases of the same project. FAQ Is Scrum better than Kanban? There’s no better methodology in isolation from context — Scrum wins with uncertain scope and iterative work, Kanban with a continuous inflow of tasks without natural cycles. Is Waterfall outdated? It isn’t outdated, it’s right for a specific type of project — stable scope, regulatory requirements. The problem is applying it to projects with uncertain scope. Can you change methodology mid-project? Yes, though it costs time to reorganize the team and process — usually done at a phase boundary, not mid-sprint or mid-phase. Which methodology fits a CRM implementation? Usually an iterative approach closer to Scrum during implementation (scope gets refined working with users), shifting to Kanban for ongoing support after launch. How do you start an Agile implementation in a company? Start with one team and one project rather than the whole organization: pick a methodology (usually Scrum or Kanban), set a short iteration and regular reviews, and extend the practices to other teams only after a few cycles. Wondering which methodology fits your project? Get in touch — we’ll match the approach to your project’s real scope and uncertainty.
4/25/2025
How to Scale an IT Team Effectively Without Losing Quality?
Scaling an IT team effectively means separating three decisions: who to hire permanently, what to outsource, and how to design onboarding so new people don’t slow the existing team down. The biggest mistake is treating scaling as pure recruitment — with no plan for who transfers knowledge or how a new team member reaches full productivity. The scaling model (hiring, project outsourcing, team extension, dedicated team) has to match whether the need is permanent or temporary. Why is scaling an IT team harder than it looks? Company growth is often step-like — a new contract, a new product, a sudden traffic spike — while a new employee’s competence always grows gradually: onboarding, getting up to speed on code and process, reaching full productivity takes weeks, not days. That gap in pace creates a window where the team is overloaded before reinforcement actually helps — and that window needs to be planned for deliberately, not ignored while hoping things „sort themselves out.” Hiring, outsourcing, or a dedicated team — which scaling model to choose? Photo: ThisisEngineering / Unsplash Model Time to start Flexibility Best for In-house hiring Weeks-months Low (hard to reverse) A permanent, long-term need for a competence core to the product Project outsourcing Days-weeks High A specific, closed scope of work with a clear end date Team extension Days-weeks Medium-high A missing skill in the existing team, without needing a full-time hire Dedicated team Weeks Medium Long-term product development without building your own team from scratch How to plan team scaling — step by step Identify the actual bottleneck, not a vague „we need more people.” Check whether you’re missing a specific skill or just throughput in existing roles — different problems with different solutions. Check whether the need is permanent or temporary. A permanent need for a core product skill = hiring. A closed project or a temporary peak = outsourcing or team extension. Plan onboarding before hiring, not after. Who transfers knowledge, what documentation exists, who mentors — without this, every new person slows the team down longer than they should. Start with the roles most critical to further growth, not the easiest to fill. Prioritizing by ease of hiring instead of business impact is a common mistake. Decide how you’ll measure success before you start. Without a baseline, it’s hard to tell whether reinforcing the team actually translated into results. How do you avoid losing quality and culture during fast growth? Photo: Christina @ wocintechchat.com / Unsplash Quality during scaling holds up not through controlling every new team member individually, but through clear standards that exist independently of who’s working on a given task — code review, architecture documentation, deployment checklists. A team that relies on „everyone just knows how it’s done” in their heads scales poorly no matter how good the people it hires are — that’s why well-scaling teams also invest in automating repeatable processes, not just documentation. Culture transfers through example and frequency of contact, not through onboarding statements. Fast growth without deliberately nurturing those channels dilutes culture regardless of how carefully new people are selected for skill. When does outsourcing help scaling, and when does it hurt? Outsourcing helps where the need is genuinely temporary or falls outside the product’s core competence — easier to start and stop without a long-term commitment. It hurts where a company hands off knowledge core to the product with no plan to bring it back in-house — that ends in dependency on a vendor for something that should be an internal competence. A useful test: if, after the engagement with an external team ends, the company couldn’t maintain what was built on its own, then something that should have stayed in-house was probably outsourced. Vendor selection matters a lot here — check how to choose the right IT company for your project before committing to a longer engagement. The billing model matters too: for project outsourcing, it’s worth thinking through how to choose a billing model for an IT project so the risk of a budget overrun doesn’t fall entirely on you. How do you measure the results of team scaling? The most reliable signal is time to productivity for new hires — if it shortens with each successive hire, onboarding is actually working. The second signal is whether the team’s delivery pace grows proportionally with its size, or stalls despite new people — a sign the problem isn’t headcount but process or communication between people. FAQ What are the biggest challenges in scaling an IT team? Maintaining quality and culture as headcount grows, budget constraints, and deadline pressure that grows faster than new people’s ability to contribute meaningfully. When is hiring better than outsourcing? Hiring makes sense for a permanent, long-term need for a competence core to the product. Outsourcing works for closed-scope work or a temporary load spike. How is team extension different from project outsourcing? Team extension adds specific people to your existing team and process (you manage the work), project outsourcing hands the whole scope of work to an external team along with managing it. How do you measure whether team scaling succeeded? Track new hires’ time to full productivity, and whether the team’s delivery pace grows along with its size. Does fast scaling always lower quality? Not necessarily — quality drops from a lack of clear standards and documentation, not from growth speed itself. Teams with well-documented processes scale faster without losing quality.
4/25/2025
How to Choose a Billing Model for an IT Project?
Four models dominate the market: Fixed Price, Time & Material (T&M), Dedicated Team, and a hybrid milestone-based model. The right choice depends on whether the project scope is closed or will evolve during delivery — there’s no single „best” model, only the right fit for a given project. At Codari we most often recommend T&M with a range estimate or the hybrid model; Fixed Price only works when the specification is genuinely closed. What are the IT project billing models? Model How it works Risk sits with Best for Fixed Price A fixed amount for a pre-defined scope The vendor (must estimate accurately) Closed scope, short project, clear spec Time & Material (T&M) Billed for actual hours worked The client (cost grows with scope) Changing scope, Agile projects, long-term work Dedicated Team A fixed team on retainer, billed as a monthly flat fee Shared, but the client pays for availability, not just output Long-horizon product development, need for a stable team Hybrid / milestone-based Fixed Price per milestone + T&M for out-of-scope changes Shared between both parties Large implementations (CRM, ERP, custom apps) with analysis and delivery phases When does Fixed Price make sense? Fixed Price only works when the project scope is closed before work starts — a simple one-page site, for example, or an integration with a clearly defined interface. The client gets budget predictability, but loses flexibility: any scope change during delivery requires a new estimate and a contract annex. The biggest Fixed Price trap is vendor underestimation. If an IT company skips a proper pre-implementation analysis, it compensates for the risk with an inflated margin or cuts corners to stay within budget. A solid Fixed Price always follows a paid analysis phase (workshops, specification) — not a guess based on a brief, the same way a solid CRM implementation quote starts with requirements analysis, not a price list. When does Time & Material make sense? T&M fits projects where scope will keep changing — Agile product development, long-term system maintenance, R&D work. The client pays for work actually done and keeps full control over sprint priorities, but takes on the risk of exceeding the initial estimate. To limit the client’s risk without giving up T&M’s flexibility, good practice is providing a range estimate before kickoff (e.g. in working days) based on requirements analysis, not a blank-check T&M. What is a Dedicated Team and when does it work? A Dedicated Team is a team (developers, sometimes a project lead) assigned to one client for an extended period, billed as a monthly flat fee regardless of how many tasks are completed that month. The client pays for the team’s availability and continuity, not for a single deliverable — closer to hiring than to buying a service. This model wins where the project has no fixed end date — SaaS product development, maintaining and extending a custom system. It requires trust and maturity on the client side: without a product owner who actively manages the backlog, a Dedicated Team quietly turns into paying for time instead of value. Vendor selection matters more here than for a one-off job — check how to choose the right IT company for your project before committing to a long-term arrangement. What is milestone-based billing? Photo: Jo Szczepanska / Unsplash The hybrid model splits a project into phases (milestones) — each with its own scope, deadline, and amount billed on acceptance. Within a phase, Fixed Price applies (predictability); changes requested outside an approved phase’s scope are billed as T&M. It’s the model that genuinely combines both approaches’ strengths, at the cost of more administrative work on both sides (phased sign-offs, change management). In practice it works best for implementations that split into logical stages: analysis and architecture design → core module delivery → integrations → automation and AI. Each stage has its own quote and its own sign-off, so the client doesn’t pay everything upfront and the vendor doesn’t carry the whole budget’s Fixed Price risk — it’s the same model we use for custom application development, where scope naturally splits into modules. What determines an IT project’s final cost, regardless of the model? The final cost of a project depends mainly on the actual effort involved — integration complexity, number of iterations, testing scope — not on the billing model itself. The billing model doesn’t change how much work a project takes; it only changes who carries the risk of exceeding the initial estimate, and when. Under Fixed Price that risk sits with the vendor (priced in as a buffer); under T&M it sits with the client; under the hybrid model it’s split across project phases. So when comparing quotes across different models, the useful question isn’t „which is cheaper” — it’s „who pays if the estimate turns out to be wrong.” How to switch billing models mid-project Freeze the current scope. Before switching, document what’s already been delivered and billed — that’s the baseline for the new agreement. Pick the model that fits the project’s current stage. If Fixed Price scope keeps evolving, move to T&M or a hybrid model for the next phases — don’t stretch Fixed Price to fit changing requirements. Sign an annex, not a verbal change. The new billing model, rates, and acceptance process need to be in the contract to avoid disputes over what was „included.” Set a new reporting rhythm. T&M and Dedicated Team need regular hours/status reporting — without it, the client loses the budget control Fixed Price guaranteed. FAQ Which billing model is cheapest? No model is inherently cheaper — final cost depends on actual effort. Fixed Price is often more expensive per hour, since the vendor prices in a buffer for underestimation risk. Can you combine several billing models in one project? Yes — that’s the hybrid model: closed-scope stages billed Fixed Price, changes and additions outside scope billed T&M. Is Dedicated Team the same as staff outsourcing? Similar, but not identical — in Dedicated Team the vendor is also responsible for
4/24/2025
How much does a custom mobile app cost in 2026?
A simple mobile app without its own server runs 25,000–40,000 PLN net today. An MVP with a user account and backend — 48,000–96,000 PLN. A full-featured product with payment integrations, an admin panel, and multi-language support starts at 120,000 PLN and grows with the number of platforms. The final price is hours worked times rate, not a price-list line item — which is why the ranges are this wide. What determines the cost of a mobile app? Five factors decide which of the three brackets above a project lands in: Number of platforms — one cross-platform build for Android and iOS costs less than two separate native apps. Backend and user accounts — an app with no login and no server is a completely different budget than a system with registration, roles, and a database. External integrations — payments (Stripe, PayU), maps, push notifications, SMS. Each integration means extra testing and error handling, not just an API hookup. Admin panel — if the business owner needs to manage content or users from a separate panel, that’s practically a second application alongside the mobile one. Number of screens and UX complexity — a 50-screen app is rarely better for the business than one with 10. Start with an MVP — what’s actually needed for the first sale, not the full product vision. Native or cross-platform — which to choose? This is the question we hear on nearly every brief. Native development (separate Swift/Kotlin builds for iOS and Android) gives the highest performance and full access to system features, but doubles the work — you write and maintain two separate apps. Cross-platform (React Native, Flutter) means one codebase for both platforms, a faster start, and lower maintenance cost, at the price of a bit of performance on the most demanding animations or 3D graphics. Criterion Native (Swift/Kotlin) Cross-platform (React Native/Flutter) Starting cost Higher — two separate projects Lower — one codebase, two platforms Time to MVP Longer Shorter Performance Maximum Very good, outside extreme cases (3D, heavy graphics) Maintenance cost Higher — two teams/codebases Lower — one codebase Access to new system features Immediate Usually delayed by a few weeks When it makes sense Apps heavily dependent on hardware (AR, games, NFC payments) Most business and consumer apps For most business projects — management apps, loyalty programs, tools for clients — cross-platform wins on the cost/time/maintenance balance. Native makes sense where the app lives off hardware capability, not business logic. What does the process of building a custom mobile app look like? Workshop and functional spec — you and the team write down what the app needs to do, for whom, and which screens are actually needed to start. The more precise the brief, the fewer surprises in the quote. Wireframes and prototype — a wireframe or clickable UI prototype to verify the navigation flow before anyone writes a line of code. Technology choice — native vs cross-platform, backend (if needed), integrations. The decision from the section above, matched to the specific project. Iterative development — sprints with regular demos, not one delivery after three months of silence. Testing on real devices — a simulator won’t catch everything, especially around push notifications and payments. Publishing to the App Store / Google Play — Apple’s review process can take a few days longer than Google’s — worth factoring into the launch timeline. A simple app takes 4-8 weeks, an MVP 6-12 weeks, an advanced product 3-6 months. Timelines grow not only with complexity but with how fast the client decides — the longest delays we’ve seen came from waiting on mockup approval, not from the coding itself. Does a mobile app need to comply with GDPR? Yes — if the app processes any personal data, GDPR applies regardless of company size or user count. This covers practically every app with a user account, since a name, email, or IP address already counts as personal data. Privacy by Design isn’t something to bolt on at the end of a project — it’s a design requirement from the first screen. The app needs a privacy policy compliant with GDPR Articles 13/14, clearly stating the purposes of processing and the legal basis for each. If the app collects sensitive data under GDPR Article 9 — health, real-time location, biometric data — the consent requirements are stricter, and a Data Protection Impact Assessment (DPIA) is often needed too. Payment integrations add PSD2 obligations, and publishing to the App Store and Google Play means additional compliance with the platforms’ own terms — Apple has its own App Tracking Transparency requirements, independent of GDPR. Planning for compliance at the functional-spec stage is cheaper than bolting it on after testing, when already-built screens need rework. How much does mobile app maintenance cost after launch? Roughly 10-20% of the build cost per year — a line item that some quotes skip, and that shows up only after the app’s first year in production. Unlike a website, a mobile app doesn’t run unattended — Apple and Google change app store requirements every year, and without updates the product starts breaking on newer phones. The maintenance budget covers: backend hosting (roughly 200-2,000+ PLN per month, depending on user count), developer account fees (Apple App Store: 99 USD/year, Google Play: 25 USD one-time), stability monitoring, bug fixes, and adapting the app to new iOS and Android versions. New feature development is quoted separately, outside this budget — that’s not maintenance, it’s further product expansion. Mobile app or web app (PWA)? If the main goal is reaching users without forcing an app-store install, a progressive web app (PWA) can be a cheaper middle ground — it runs in the browser but offers some native-app features (notifications, a home-screen icon, offline use). The trade-off is no full access to system features and a weaker experience on iOS, where Apple limits PWA capabilities more than Google does on Android. For simple tools and an early MVP, it’s often a sensible first step before investing in a
3/28/2025
How to Choose Technology for Mobile and Web App Development?
Choosing a technology mainly comes down to three things: whether you need native mobile performance, how dynamic the interface needs to be, and how large a team will maintain it after launch. There’s no single „best” technology — there’s the right one for a specific type of project. Next.js, Laravel, WordPress, or native — a quick comparison Technology Best for Weak at Next.js (React) Dynamic web apps, SaaS, products with frequent UI changes Simple content sites — overkill Laravel (PHP) Apps with extensive server-side business logic, admin panels Highly dynamic interfaces requiring an SPA WordPress Content sites, blogs, fast starts without building a backend from scratch Apps with business logic, high transactional traffic Native (Swift/Kotlin) Mobile apps needing full performance, hardware access (camera, GPS, sensors) Limited budgets — two separate codebases for iOS and Android Cross-platform (React Native, Flutter) Mobile apps for both platforms with one codebase, moderate hardware needs Extremely performance-demanding apps (games, AR) When should you choose Next.js over WordPress? Next.js makes sense when you’re building more than a content site — an app with login, dynamic data, frequent interface changes. WordPress wins when the main need is publishing content and a fast start without building your own backend — see our guide to choosing a CMS for a deeper comparison in that specific context. Native app or cross-platform (React Native/Flutter)? Native wins when you need maximum performance and full access to phone hardware — games, processing-intensive apps, hardware integrations. Cross-platform wins on budget and time — one codebase for both platforms, sufficient for most business apps without extreme performance requirements. How do you evaluate which technology fits your project? Define what the app actually needs to do, not what it „might do someday” — pick technology for the real scope, not an imagined future. Check who will maintain it after launch. A more popular technology (React, PHP) means easier access to developers later than a niche one. Calculate the cost of two separate mobile codebases (native) vs. one cross-platform one — the budget difference can be large over longer development. Ask whether you need this at launch or only at scale. Some decisions (native vs. cross-platform) can be deferred until real traffic shows whether performance is actually a bottleneck. FAQ Is Next.js better than WordPress? Not in isolation from context — Next.js wins for dynamic apps, WordPress wins for content sites and a fast start without building a backend. Does a mobile app have to be native? Not always — cross-platform (React Native, Flutter) is enough for most business apps; native makes sense for extreme performance needs or deep hardware integration. Can you switch technology later if it turns out to be the wrong choice? Yes, but it’s a costly migration, not a minor fix — worth spending time choosing upfront rather than assuming you’ll „switch if it doesn’t work out.” What does choosing the wrong technology at the start cost? Not in licensing (most listed here are free/open-source), but in development time — a poorly chosen technology slows down development and maintenance for the project’s entire lifetime. Not sure which technology fits your project? Check out how we build custom applications or get in touch — we’ll match the stack to your real scope, not to trends.
3/11/2025
The Latest Trends in SaaS Product Development
The SaaS market is developing at a lightning-fast pace. In 2019, revenues from this sector reached as much as $85.1 billion, marking a 17% increase compared to the previous year. This dynamic growth is no accident. Companies worldwide, from small startups to large corporations, are increasingly choosing cloud-based solutions due to their flexibility and scalability. One of the key trends is service personalization. Thanks to advanced technologies, such as AI, SaaS tools can adapt to the individual needs of clients. An example could be MailChimp, which automates marketing campaigns, or Brand24, monitoring online brand sentiment. Another important aspect is the rise in popularity of usage-based pricing models. Clients are increasingly willing to pay only for the resources they actually use, which boosts their loyalty and satisfaction. This model is particularly beneficial for small and medium-sized businesses, as it allows them to optimize their spending. It is also worth noting the development of collaboration platforms. Tools such as Nozbe or InStream enable effective teamwork, even in remote environments. Thanks to integration with other systems and APIs, these platforms improve operational efficiency and simplify project management. Key Information The SaaS market is experiencing dynamic growth, reaching $85.1 billion in 2019. Service personalization is one of the most important trends in the development of SaaS tools. Usage-based pricing models are gaining popularity due to greater transparency and cost efficiency. Collaboration platforms, such as Nozbe and InStream, improve the efficiency of project teams. Integration with APIs and other systems is crucial for operational efficiency. Key Trends in SaaS Product Development The SaaS software market is undergoing a period of rapid development. With the growing popularity of cloud platforms, personalization, and new pricing models, the industry is constantly evolving. These trends are not only changing how businesses deliver services but also shaping customer expectations. The Growth of Cloud Software Cloud-based software has become the foundation of business modernization. It allows companies to scale their resources and adapt to changing needs. Tools like Brand24 and MailChimp demonstrate how the cloud can streamline business processes. Personalization of Features and Offerings Personalization is vital for attracting and retaining customers. With advanced technologies like AI, companies can create tailored solutions to meet specific needs. A great example is the custom statuses in ClickUp, which effectively showcase the power of personalization. Evolution of Pricing and Subscription Models Usage-based pricing models are becoming more popular. Customers want to pay only for what they use, which increases their satisfaction. This trend is particularly advantageous for small and medium-sized enterprises. Trend Description Example Cloud Streamlines business processes Brand24, MailChimp Personalization Tailored solutions ClickUp Pricing Model Pay-for-use approach SMEs These trends are shaping the future of the SaaS market, offering greater flexibility and value to customers. Inspirations and Examples of the Latest SaaS Tools Within the fast-growing SaaS software market, new and innovative tools are emerging constantly. They help businesses manage projects, improve communication, and automate processes. These solutions not only streamline everyday tasks but also open up new possibilities for businesses. SaaS in Project and Team Management For project management and team coordination, tools like ClickUp and Monday.com are indispensable. ClickUp offers more than 15 views of work processes, enabling customization to individual needs. Thanks to integrations with other systems, like Zapier, these tools significantly enhance efficiency. Examples of Applications: CRM, Marketing Automation, and Collaboration Tools Among the noteworthy examples are InStream, an excellent solution for companies seeking advanced CRM functionality. For marketing, edrone provides campaign automation, while Slack facilitates team communication. These tools highlight how modern technologies can support business growth. Translation Key Information The SaaS market is experiencing dynamic growth, reaching $85.1 billion in 2019. Service personalization is one of the most important trends in the development of SaaS tools. Usage-based pricing models are gaining popularity due to greater transparency and cost efficiency. Collaboration platforms, such as Nozbe and InStream, improve the efficiency of project teams. Integration with APIs and other systems is crucial for operational efficiency. What Tools and SaaS Models are Changing the Market? The modern SaaS software market is evolving with the introduction of new models and tools that adapt to changing business needs. This section highlights the trends and solutions shaping this sector. Differences Between Horizontal and Vertical SaaS SaaS solutions can be categorized into horizontal and vertical types. Horizontal SaaS is designed for a broad range of customers, regardless of industry or company size. Slack is an example, streamlining team communication worldwide. On the other hand, vertical SaaS is tailored to specific industries, such as Shoper for e-commerce. Micro-SaaS Versus Traditional Solutions Micro-SaaS refers to small, specialized tools often created by startups. These tools offer simple features that address specific needs. For instance, Donorbox focuses exclusively on donation management. Conversely, traditional SaaS encompasses broader functionalities and caters to varied use cases. Integrations and Automation – Zapier, Slack, ClickUp Tool integration is vital for efficient work. Zapier connects different apps, automating processes. For example, automatically adding new contacts from Slack to MailChimp boosts efficiency for teams. Customer Relationship and Service Management Modern SaaS tools, such as Zendesk, are transforming how companies manage customer relationships. They offer centralized communication and satisfaction monitoring. These trends and tools demonstrate how SaaS contributes to efficient work and business growth. Conclusion SaaS products are shaping the modern business landscape. Personalization, flexible pricing models, and the development of cloud technologies drive this sector forward. Companies adapting to these changes gain a competitive edge. To effectively leverage these trends, it’s important to understand your business needs. Selecting the right tools and solutions will allow you to optimize project management, team collaboration, and customer service. Continuously updating knowledge and monitoring the market is key to staying ahead. Take inspiration from the examples and insights presented in this article. Creating modern SaaS products isn’t just about technology; it’s about enabling more efficient work and driving better results for your business. FAQ What is SaaS software, and how does it work? SaaS (Software as a Service) is a software delivery model via the internet. Users access
2/26/2025
Change Management in IT Projects — How to Make Changes Without Chaos
Scope change during an IT project isn’t a problem on its own — the problem is the lack of a process to evaluate it. Companies that handle this best have a clear path: every change goes through an impact assessment before it hits the backlog, instead of jumping straight into a sprint unquestioned. Why scope change derails projects The most common problem isn’t the change itself, it’s its uncontrolled entry into ongoing work — a new „must-have” feature jumps into the middle of a sprint, the team switches context, and what was already in progress gets stuck. The cost of a change is always higher than the work on it alone suggests — there’s the cost of context switching and the delay to what was already happening. What does a good change request process look like? A request with „what” and „why.” „Add X” isn’t enough — you need the context of what problem it solves. Impact assessment on schedule and budget before the decision to enter the backlog — not after the fact. Prioritization against what’s already in progress. A new item doesn’t automatically jump ahead of what’s already started unless that’s deliberately decided. A clear decision: now, later, or not at all. No decision is also a decision — and the worst possible one, because the change hangs there and blurs priorities. When to make a change right away vs. defer it? Situation Make it now Defer to the next iteration Bug blocking users Yes, priority over current work — New feature idea with no urgent business pressure — Yes, into the backlog with an impact assessment Regulatory change with a deadline Depends on the deadline — assess realistically If the deadline allows, plan it normally „While we’re at it” — a small change on the side Rarely — this is the most common source of schedule drift Yes, almost always How do you avoid scope creep? The biggest source of schedule drift isn’t large changes — those usually go through assessment. It’s the small „while we’re at it” changes that nobody formally evaluates because „it’s just a small thing.” Every change, even a small one, should go through the same decision path — otherwise ten small things add up to real delay nobody planned for. FAQ Does every scope change need a formal change request? In practice, yes, though the process can be lightweight (one sentence of impact assessment) for small changes — the key is that no change enters without any evaluation. Who should decide whether a change enters the project? The person responsible for budget/schedule on the client side, together with the delivery team — a one-sided decision (only the client or only the vendor) usually leads to conflict later. Does a change always extend the project? Not always, but it almost always has some cost — time, budget, or priority of other work. Estimating that cost upfront, instead of discovering it after the fact, is the whole point of the process. How do you tell a real scope change from a requirements clarification? A clarification fits within what was agreed at the start (e.g. the exact color of a button). A scope change adds something that wasn’t in the original agreement (e.g. a new feature) — the line can be blurry, which is why it’s worth setting it explicitly at project kickoff. Struggling with scope drift on an ongoing project? Get in touch — we’ll help set up a process before the next change throws off your schedule.
2/22/2025
Custom Application Development — When Does It Pay Off?
A custom application makes sense when the cost of working around an off-the-shelf tool’s limitations starts to outweigh the cost of building your own. It’s rarely a case of „the ready-made tool is bad” — more often it’s the moment your team is routinely working around the system with manual tricks, copying data between tools, and relying on exceptions nobody wrote down. Five signals a ready-made tool no longer fits None of these alone means „build custom” — but when several show up together, it’s time to run the numbers instead of guessing. Workarounds instead of solutions. The team patches things in a spreadsheet, re-enters data by hand, copies information between systems. Data lives in several places at once. People re-type it between systems, and each version drifts from the others. You need to give clients or partners access. An external-facing panel is almost always an application, not a spreadsheet or a static page. Scale has outgrown the tool. What worked with ten people stops holding together at fifty. Non-standard integration logic. A company that already runs several systems rarely finds an off-the-shelf product that does it without compromise. Off-the-shelf tool vs. custom application Criterion Off-the-shelf / SaaS Custom application Getting started Works immediately, docs and support included Needs a spec and a build — slower start Fit to your process Process often bent to fit the tool Tool built around your actual process Non-standard integrations Limited to what the vendor anticipated Whatever you need, designed for your systems Cost over time Per-user subscription grows with team size One build cost, then mostly maintenance „Almost fits” risk Workarounds accumulate over time None — features match the real process Where it wins Standard process, few edge cases Process specific enough to become a competitive edge What building a custom application looks like Find one bottleneck, not the whole process. Find the one step that hurts most today. Map the inputs and outputs of that step. Define the narrowest version that solves just that one problem. Run it with one team, not the whole company. A few weeks of real data tell you more than any spec document. Expand scope only after validation. Add features based on what turned out to actually be needed. Treat maintenance as part of the plan, not a surprise. Someone needs to keep developing and fixing it as the process changes. Why we’re building our own system instead of using a ready-made CRM For Octopus, we evaluated existing loyalty platforms and CRMs. None combined fan relationship management, a loyalty program, and integration with the rest of a club’s processes in one place. We’re building our own system because a sports club’s process is specific enough that a ready-made product always forces a compromise. FAQ How is a custom application different from an MVP? An MVP is the narrowest version of an application that tests one business hypothesis. Custom application development is the broader process of building a dedicated system. Can you combine ready-made tools instead of building from scratch? Yes — connecting proven tools with an integration and automation layer (e.g. via an automation tool), without writing an entire system from the ground up.
2/19/2025
Is Adobe Experience Manager Still Worth It in 2026?
Yes — if you’re running a large, multi-brand or multi-region content operation and need one system to govern it, not for a five-page marketing site. AEM as a Cloud Service earns its cost through centralized governance, reusable components across brands, and, in 2026, new AI features across translation, asset search and governance. For a smaller site, a headless CMS or WordPress will do the job for a fraction of the price. If you already run AEM 6.5, the decision is more urgent: Adobe ended support for 6.5 on Managed Services on 31 August 2026, and core on-premise support is planned to end in February 2027. What is AEM used for in 2026? Adobe Experience Manager is an enterprise content management platform built for organizations that publish the same content across many sites, brands, or countries and need one governance layer over all of it. It combines a web content management system (AEM Sites) with a digital asset management system (AEM Assets), both running on Adobe’s managed cloud infrastructure since the shift to AEM as a Cloud Service. The 2026 releases add three things worth knowing before you evaluate AEM. AI translation integration lets you plug an LLM provider into the standard AEM translation workflow. Azure OpenAI is supported first, and you bring your own licence and credentials, so model costs sit outside the AEM licence. AEM Edge Functions run JavaScript on Adobe’s CDN for personalization and API composition, on both Cloud Service and Edge Delivery Services projects. And agentic features for governance, such as an agent that answers plain-language questions about who can access a content path, are appearing in the release notes, some of them still in beta programs. None of this changes what AEM is for. It changes how much manual work the platform can take off a large content team. AEM vs a headless CMS vs WordPress — which one fits? Criterion AEM Cloud Service Headless CMS (Contentful, Sanity) WordPress Best fit Multi-brand, multi-region enterprise Product teams shipping custom frontends SMB sites, blogs, single-market marketing Typical team size to run it Dedicated content ops + AEM developers Small content + frontend team 1-2 marketers, freelance dev as needed Governance across brands Built-in (templates, components, permissions) Manual, built per project Not designed for this Asset management Native (AEM Assets, DAM) Usually a separate tool Plugin-dependent Launch speed for a new site Slow — weeks, needs AEM setup Fast — days Fastest — hours Licensing cost High, enterprise-tier Mid, scales with usage Low to none If you’re comparing AEM to WordPress for a single company site, you’ve already answered the question — AEM isn’t built for that job. The comparison only makes sense once you’re running content across multiple properties that need to look consistent and share components. If you’re still choosing a system, start with our guide to choosing a CMS for your business. When does AEM actually pay for itself? It pays for itself when the cost of not having central governance exceeds the license. That shows up in three patterns: Multiple brands or regional sites reusing the same components, templates and approval workflows instead of rebuilding them per market. Large asset libraries (product photography, video, localized creative) that need one searchable, permissioned system instead of shared drives per team. Regulated content where every publish needs an audit trail and role-based approval — healthcare, finance, and large regulated retailers are the recurring pattern here. Photo: Z / Unsplash Outside those three, the platform’s cost and operational overhead usually outweigh what it adds over a lighter system. Photo: Randy Fath / Unsplash How does a typical AEM migration or implementation work? Photo: Paymo / Unsplash Content and component audit. Map what exists today — page types, reusable blocks, asset volume, current CMS if any — before touching AEM itself. Information architecture and component library. Define the template and component structure once; this is what makes multi-brand reuse actually work later. Environment setup on AEM as a Cloud Service. Author, publish, and dispatcher tiers configured through Cloud Manager, with CI/CD pipelines for deployments. Content migration. Structured migration from the legacy system, not a manual copy-paste — this is where most timeline overruns happen if it’s skipped or rushed. Integration layer. Connect AEM to the surrounding stack — commerce, CRM, marketing automation — through APIs, without hardcoding vendor-specific logic into templates. Testing and phased rollout. Launch region by region or brand by brand rather than a single cutover, so issues surface on a smaller blast radius. A realistic first AEM implementation for a mid-size multi-brand company runs several months, not weeks — teams evaluating AEM on a tight quarter-end deadline are usually better served starting with a smaller CMS and revisiting AEM once the multi-brand need is proven. We describe the full migration sequence in our checklist for migrating from a legacy CMS to AEM. What happens to AEM 6.5 in 2026 and 2027? According to Adobe’s release roadmap, support for AEM 6.5 on Adobe Managed Services ended on 31 August 2026. For on-premise installations, core support is currently planned to end in February 2027, and service pack 6.5.26.0, targeted for 19 November 2026, is the last release of that line. The system does not stop working on the day support ends. It stops being covered by Adobe, including patches, and in companies with compliance requirements that usually settles the discussion. In practice two paths remain: AEM 6.5 LTS, a successor built on newer Java versions (17 and 21), or AEM as a Cloud Service. The choice depends on how much control over infrastructure you need, what budget you have for a migration project, and how much you want to use new features. Criterion AEM 6.5 LTS AEM as a Cloud Service Where it runs On-premise or Adobe Managed Services Cloud managed by Adobe Java 17 and 21 21 today; Adobe plans to move all environments to Java 25 by June 2027 New releases Service packs (SP3 shipped on 20 August 2026) Feature releases monthly, fixes twice a month
2/13/2025
Creating an MVP – A Key Step to Your Company’s Success
Have You Ever Dreamed of Creating a Breakthrough Product? Steve Jobs once said, “The biggest risk is not taking any risk.” These words hold especially true when discussing the creation of new products. If you’re looking to take your company in a bold, new direction, you must learn the secret to effectively testing your vision – building an MVP, or Minimum Viable Product. MVP is a real game-changer in the world of entrepreneurship. But how do you approach this task to avoid mistakes and gain an edge? Why MVP is Your Trusted Ally on the Road to Success Imagine developing a product without the risks of high costs and endless adjustments. That’s the promise of MVP. A Minimum Viable Product includes only the essential functions – just enough to operate and gather critical feedback from your users. The best part? You save not just money but also time. Especially in startups, where resources are limited, MVP offers the chance to quickly test ideas and adapt them to the market. How MVP Unlocks New Opportunities You don’t need years of experience to recognize the benefits MVP provides: Defining MVP – Introducing Your Product to the World MVP (Minimum Viable Product) is the first version of your idea, focused solely on the key functionalities. It exists so users can engage with the product while you collect firsthand feedback. It’s a tool highly valued in startups worldwide, where fast and efficient testing is foundational to success. The Process of Creating an MVP – How to Start? Creating an MVP requires a clear vision and proper planning. Here are some steps to get you started: Ultimately, an MVP is like a laboratory where you test your ideas to deliver a product perfectly suited to users’ needs. Inspiring Examples of MVP in Action Did you know Dropbox started with just a simple demo video? By showcasing its potential in a matter of minutes, the founders gained interest that fueled future development. Their story proves that minimalism can pave the way to creating something extraordinary. Practical Tools and Useful Methodologies If you’re wondering how to create your first prototype, here are some tools and approaches to help: These tools and methods are your survival kit in the fast-paced world of startups. Testing Your MVP – The Path to Success The testing phase is your chance to confront market reality. By showcasing your product to potential users, you’ll get priceless feedback. This input will guide you in making vital adjustments and pinpointing the features that matter most. Key Tips for the Testing Phase Remember, an MVP is never the final product – it’s always the beginning of something better. How to Avoid Common Mistakes? “MORE” often means “WORSE.” One of the cardinal sins of creating an MVP is overloading it with features. Your goal is simplicity. Ignoring user feedback is another major pitfall. A product that doesn’t meet their needs loses value quickly, so treat feedback as gold. Measuring the Success of Your MVP – What’s Next? The success of your MVP is measured by data. How many users have you gained? How are they responding to your product? By analyzing these metrics, you’ll define your next steps – whether it’s adding new features or refining existing ones. Are You Ready for Success? Creating an MVP isn’t just a strategy; it’s an approach filled with courage and hope. Every element, every decision, is a step toward building a product that stands the test of time. Take the leap and start your innovation journey, just as companies like Dropbox or Airbnb did. Your business could be next in line for greatness. Summary Crafting an MVP is a crucial step in turning an idea into reality. It’s a chance to test your potential quickly, affordably, and efficiently in the market and find the optimal path for your company’s growth. Start today – the key to success is in your hands. If you’re looking for a partner to guide you through every stage of creating an MVP, Codari is here to support your vision. The Codari team consists of experienced professionals who will help bring your idea to life, laying a strong foundation for your product’s development. Together, we can achieve more! Contact us to see how Codari can help your business today.
1/21/2025
When Is IT Outsourcing Worth It?
IT outsourcing pays off when you need specific skills for a limited time, or when maintaining an in-house team with that specialization would cost more than the value of having it permanently. It doesn’t pay off when the need is continuous and strategic and requires deep knowledge of your product — an in-house team usually wins there in the long run. When does IT outsourcing make sense? The project has a clear start and end. A migration, a CRM implementation, a specific feature — once it’s done, the need for that skill disappears or drops sharply. You need niche expertise rarely. An AEM expert, a security architect, a specialist for one specific migration — hiring full-time doesn’t make sense for a one-off need. You’re scaling faster than hiring can keep up. Outsourcing gives access to people right away; in-house hiring is weeks to months. You want to test a direction before committing to a hire. Before hiring permanently, you check whether a given skill is actually needed continuously. When doesn’t IT outsourcing make sense? If the need is continuous and strategic — the core of your product, something requiring deep, growing knowledge of your system — an external team will always carry higher communication and turnover cost than a permanent one. Outsourcing doesn’t replace your core team, it fills the gaps where the need is periodic or niche. What does 2026 market data say about IT outsourcing? Cost has stopped being the main reason companies turn to IT outsourcing. According to Talent Alpha’s „IT Outsourcing Trends Survey” (part of the Future of Work 2026 „Lost & Found in Flexibility” report, covering 50+ organizations across Europe, North America, and Asia), 26% of companies cite flexibility and speed of access to skills as the main reason for using IT outsourcing — only 16% cite cost reduction. At the same time, 35% of clients return to the same provider because of delivery quality, not price. That matches what we hear in client conversations: „how fast can you start” and „have you done something like this before” come up more often than „how much does it cost”. IT outsourcing for small businesses — does it pay off at a smaller scale? A small company rarely needs a full development team permanently, but almost always needs some IT capability — a website, integrations, support. This is where outsourcing wins more clearly than for a large company: the cost of even one full-time hire often exceeds the real, ongoing need. A good example is business process automation — rarely worth a dedicated hire, but a recurring need all the same. Small company situation Outsourcing In-house hire One project (website, integration) Wins — no cost after completion Overprovisioned Ongoing but small IT support Wins — flexible hours Hard to fill a full role Product core, continuous development Depends on scale — at real growth, in-house starts paying off Wins at stable, growing demand Photo: Annie Spratt / Unsplash How do you choose an IT outsourcing provider? Check portfolio for the specific skill, not general brand. A company good at e-commerce isn’t necessarily good at enterprise integrations. Ask about the communication model, not just price. Reporting frequency and team availability affect hidden cost more than the hourly rate. Start with a small, limited task. A test slice of the project shows more than a sales call. Check how to prepare for working with an IT company — good preparation on your side shortens how quickly an external team gets productive. If you’re after a full dedicated application project instead, the selection criteria are similar, just at a higher stake. FAQ Is IT outsourcing cheaper than an in-house team? Depends on scale — for a project with a clear end or a niche skill, yes; for a continuous, strategic need, an in-house team usually costs less long-term. Should a small business use IT outsourcing? More often than a large one — the cost of a full-time hire for a small, ongoing IT need rarely pays off, outsourcing gives scope flexibility. How long does a typical outsourcing engagement last? Depends on the project — from weeks for a one-off task to months or years for ongoing support. How is outsourcing different from staff augmentation? Outsourcing usually means handing an entire task/project to an external team; augmentation means adding external specialists to your existing team, under your management. Wondering if outsourcing is a good fit for your project? See how we scale IT teams or get in touch — we’ll assess your case specifically.
1/18/2025
Types of Business Process Automation — Which One Fits?
Process automation today splits into three levels: RPA (rigid „if X then Y” rules), workflow automation (connecting systems through integrations), and agentic automation (AI that reads context and makes decisions within boundaries). Which level fits depends on how much the process needs judgment rather than just execution. How is RPA different from workflow automation? RPA (Robotic Process Automation) mimics human actions in an interface — clicking, filling forms, copying data between systems, the same way every time. It works well for simple, repetitive tasks with no exceptions, but breaks at the smallest interface change or unusual case. Workflow automation connects systems at the data level, not the interface — through APIs and webhooks, not by simulating clicks. It’s more resilient to change and easier to maintain than RPA, because it doesn’t depend on what the screen looks like. What is agentic automation (AI) and how does it differ from workflow? Agentic automation adds a decision layer on top of workflow — the system doesn’t just pass data between steps, it evaluates context and chooses what happens next. Example: a workflow sends every new lead to the same queue; agentic automation classifies the lead based on the content of the inquiry and routes it to the right person or process, without a rigid „if source = X” rule. Which type of automation fits which process? Automation type Best for Weak at RPA Simple, repetitive tasks with no exceptions (data entry, form filling) Changing interfaces, processes with many exceptions Workflow (integrations) Connecting systems, passing data between tools Decisions requiring context judgment Agentic (AI) Classification, routing, decisions with ambiguous input Irreversible actions without a human checkpoint How do these three levels combine in one process? In practice, most real implementations combine all three levels in one process rather than picking one. Example: RPA copies data from a PDF form into a system → workflow passes it between CRM and an accounting tool → an agentic layer classifies the request’s priority and decides whether it goes straight to a person or further automation. The layers don’t compete — each handles a different stage. Before picking an automation level for a specific process in your company, check where to start with implementation — that’s the framework for choosing your first process, this article only answers „which type of tool.” FAQ Is RPA the same as workflow automation? No. RPA mimics human actions in an interface (clicking, filling forms), workflow connects systems at the data level via APIs — workflow is more resilient to change. Does agentic automation replace RPA and workflow? It doesn’t replace them, it adds a decision layer on top — RPA and workflow still handle the mechanical steps, the agentic layer decides what happens with ambiguous cases. Which automation type should a small company start with? Usually workflow (integrations between existing tools) — it gives the fastest return without investing in an AI layer, which can be added later for a specific process. Does agentic automation require training your own AI model? No — most implementations use existing LLMs via API rather than training custom models from scratch. Not sure which automation level fits your process? Get in touch — we’ll assess it together, on a concrete example.
1/7/2025
How Is AI Changing the IT Industry in 2026?
In 2026, AI in the IT industry is moving from suggesting code to carrying out multi-step tasks on its own: agents read a repository, plan changes across many files and run tests. Adoption is outpacing trust — in Stack Overflow’s 2025 survey, 84% of developers said they use or plan to use AI, yet 46% don’t trust the accuracy of its output. Whether a company benefits comes down to oversight: limits on what an agent may do, escalation points to a human, and an audit trail. What is agentic coding, and how is it different from code suggestions? AI assistants a few years ago finished a line of code a person had started. An agent gets a task at the level of “fix this bug” or “add this feature,” reviews the repository on its own, plans changes across several files and checks the result with tests before a person even looks at the code. Tools such as Claude Code, Cursor and GitHub Copilot offer this mode today. It is a full work cycle, not autocomplete. The scale is growing: Stack Overflow reports that agent usage has doubled since its 2025 survey, while concerns about the quality of generated code have grown alongside it. Photo: Compagnons / Unsplash Is one agent enough, or do you need teams of agents? Increasingly, instead of one general-purpose agent, a team of specialized ones does the work: one plans, one writes code, one tests and checks the result against requirements. The industry has been through this before, in the move from monoliths to microservices — instead of one system doing everything, specialized components with clear interfaces. Gartner forecasts that by 2028 about a third of enterprise software applications will include agentic features (up from under 1% in 2024) and that at least 15% of day-to-day work decisions will be made autonomously (Gartner, June 2025). That is a forecast, not a measurement. How is AI changing IT process automation? Classic automation runs a scenario described in advance: if event A happens, do B. An AI agent copes where the scenario can’t be written down up front because the task needs judgment about context — for example, classifying a ticket, pulling data from several systems, or preparing a reply for approval. That doesn’t mean an agent replaces every workflow. Gartner points out that many use cases labelled agentic today don’t need agents at all, and repeatable, well-defined processes still work best as plain automation. We cover how to choose in where to start with business process automation and compare the types of solutions in types of business process automation. You can see how this looks in our offer on the Codari automation page. Photo: Winston Chen / Unsplash How is machine learning changing software development? Machine learning models now support code review, test generation, log analysis and anomaly detection in monitoring — that is, wherever there is a lot of repetitive data to search through. The gain is biggest on well-defined, measurable tasks. For architectural decisions the model suggests, but it doesn’t know the project’s business context, so the last word stays with a person. Photo: Luke Chesser / Unsplash Is AI-generated code secure? Not by default — it needs the same review as code written by people. The Veracode report from July 2025 tested more than 100 models on 80 coding tasks and found OWASP Top 10 vulnerabilities in 45% of cases, with the security of generated code not improving across newer model versions. Developers see the same in practice: in Stack Overflow’s survey, 66% named answers that are close to correct but still wrong as their top frustration, and 45% said debugging AI-generated code takes longer than they expected. The practical takeaway: static security analysis in the pipeline, security requirements spelled out in the task for the agent, and human review for high-risk changes. AI also works on the defensive side — it detects anomalies in network traffic and speeds up incident response — but attackers get the same capabilities. Why does governance decide whether AI deployments succeed? The more decisions an agent makes, the more important the question becomes: who supervises it, and how do you check afterwards. Gartner predicts that more than 40% of agentic AI projects will be cancelled by the end of 2027 because of rising costs, unclear business value or inadequate risk controls. That is a list of management problems, not of model quality. In practice three things are becoming standard: clear limits on what an agent may do without asking, mandatory escalation to a human for high-risk decisions, and a full audit trail — what was automated, when and why. What changes in how IT teams work? The biggest change is in what a developer is responsible for: less writing, more directing and verifying. Area Before In 2026 Developer’s role Writing code line by line Directing agents and verifying results Code review A person reads every line A person oversees high-risk points, automated analysis filters the routine New skills Language and framework knowledge Framing tasks for agents, orchestration, integration protocols (e.g. MCP) Risk An error in a single line A systemic error that scales faster and needs different safeguards How do we approach this at Codari? Agentic AI supports our team’s daily work, but it doesn’t replace the domain expertise we’ve built over years — that decides what needs to be done and how, while AI speeds up the execution. We don’t hand AI whole chunks of functionality to design on its own: architecture and design decisions stay with people who know a client’s business process inside out. AI works well where a task is well defined and repeatable; where experience and context matter, the team decides, not the tool. FAQ Will AI replace programmers in 2026? Not in the sense of full replacement — the role is shifting from writing every line to directing agents and verifying results. According to Stack Overflow’s 2025 survey, 64% of developers don’t see AI as a threat to their jobs. What
1/5/2025
Key Stages of Software Development: From Concept to Deployment
Key Stages of Software Development Software development is an extremely complex process. It requires not only meticulous planning but also effective management. Below, we’ll discuss the stages of this process, from start to finish, focusing on application development and programming. Developing software is similar to executing any other company project. It demands careful planning and management. Companies often use various project management strategies to ensure high-quality software throughout the project lifecycle. Summary of Key Points in Software Development Fundamentals of Software Development in the Modern World Today, software design is critical for many businesses. The lifecycle of software, from its inception to completion, is immensely important. The Agile software development methodology is gaining popularity and is now used by approximately 70% of companies in the IT industry. IT firms need to adapt to evolving requirements. Approaches such as Scrum and Kanban help companies execute projects faster and more effectively. Meanwhile, strategic planning allows for the precise definition of goals and project priorities. The Evolution of Software Development Methodologies Software development methodologies have evolved alongside technological advancements. Currently, Scrum and Kanban are the most popular approaches. Scrum is utilized by 58% of teams, while Kanban is employed by 40% to identify and solve problems. The Importance of Strategic Planning in Software Development Strategic planning is crucial for the success of any project. It enables clear definition of a project’s goals and priorities, helping to avoid errors and unforeseen expenses. Contemporary Challenges in the IT Industry The IT industry must constantly adapt to the dynamic evolution of technology and market changes. Software design and the software lifecycle are essential to the success of any company. To remain competitive, businesses must continue to evolve. Key Stages of Software Development: Requirements Analysis and Project Specification Requirements analysis is the first and critical step in the software development process. It allows for a thorough definition of business goals and benefits. Programming methodologies, such as software engineering, play a vital role in this stage. Our team firmly believes that a strong understanding of requirements is the foundation for any successful project. During the requirements analysis phase, software engineering assists in setting priorities and defining the project’s scope. The key stages of requirements analysis include: Programming methodologies like software engineering help to better understand the client’s needs. Our team is confident that requirements analysis is essential for the success of any project. Software Architecture Architecture Design Performance Security Well-Designed High High Poorly-Designed Low Low Conducting an audit of the existing architecture is the first step in improving a system. A holistic approach to designing IT systems takes into account every aspect of business operations. Our team has 20 years of experience in software design and can assist in creating an efficient IT system. Implementation and Testing in the Software Development Lifecycle Implementation and testing play a crucial role in software development. The team must write the code, test it, and deploy it to ensure the software operates as expected. Programming methodologies are key, aiding teams in working more efficiently and creating better software. It’s important to design code in a way that facilitates future implementations. Code Implementation Strategies Choosing the right code implementation strategy has a significant impact on the final software quality. The tools and methods used during implementation and code testing are crucial. Test Automation Automated testing plays a vital role in modern software development. It enables quick identification and correction of errors, significantly improving the quality of the final product. Quality Management as a Key Stage of Software Development During software development, quality management is critical. This process requires continuous monitoring of quality and implementing necessary corrections and adjustments. High software quality results not only from the programming team’s commitment but also from meticulous testing. Various quality management strategies are essential in this process. Unit testing, acceptance testing, and automated testing are indispensable. Tools like Selenium and JUnit help increase efficiency and reduce the risk of errors. Software development also involves ongoing quality control to ensure the software meets all user requirements. Developing high-quality applications requires not only good code but also a carefully designed user interface and usability testing. This is why we recommend adopting Agile methodologies, which allow for rapid and effective programming and testing. Conclusions: The Future of Software Design Staying up to date with current trends in the world of software design is essential. Agile methods like Scrum and Kanban are making software better and more tailored to user needs. We expect that artificial intelligence, blockchain, low-code/no-code platforms, and process automation will see increased adoption in the future. Modern programming languages like Rust, Dart, and Julia will gain popularity due to their advanced features and capabilities. Growing interest in cybersecurity will force software providers to invest more in security measures and data protection. Digital transformation will also bring greater integration between online and offline solutions, impacting how businesses operate. We believe the future of software design belongs to companies that effectively manage the software lifecycle and skillfully implement new technologies, adapting to changing market conditions. FAQ
1/4/2025
How to Streamline Software Testing: A Comprehensive Guide
Software testing plays a crucial role in today’s software-driven world by ensuring high-quality performance and addressing diverse testing types such as functional and automated testing. These methods guarantee that software operates smoothly and meets user expectations. Testing tools are indispensable as they support efficient and effective testing processes. Learn more about web application development and IT outsourcing with Codari. Key Points Recap Foundations of Software Testing Software testing is a continuous process demanding constant improvement. Noted expert Sławek Stankiewicz emphasizes the importance of testers staying updated with new technologies and methods. Consequently, robust software testing strategies are critical to effective error detection and enhanced reliability. Discover the latest IT and software development trends with Codari. Modern Challenges in Software Testing The evolving nature of software presents constant challenges, particularly in delivering reliable and high-quality systems. Some of the most prominent testing categories include: Strategies for Effective Testing Effective software testing is the foundation of creating high-quality systems. Below are some strategies to upgrade your software testing process: Shift-Left Testing This technique involves moving test activities to earlier stages of development. Early detection and correction of defects save both time and costs. Risk-Based Testing This method prioritizes risks, focusing testing efforts on the most critical areas. It supports identifying potential issues effectively. Continuous Testing By continually testing software throughout its lifecycle, this approach ensures ongoing error correction, enhancing overall quality. Automation is a key factor in contemporary testing, with performance and functional tests particularly valuable in large projects. FAQ What is software testing, and what are its main objectives?Software testing evaluates how IT systems function. The primary goals include identifying errors, improving quality, and ensuring adherence to specifications. What are the crucial components of the software testing process?Key elements include planning, designing, executing tests, reporting results, and analyzing data. Team communication is also vital. What roles are most important in a testing team?A testing team comprises testers, test leads, analysts, and test architects. Each has a unique role during the testing lifecycle. What strategies can improve software testing efficiency?Effective strategies include early initiation of testing activities, risk-based approaches, and uniform automation across all project phases.
12/21/2024
Guide: How to Prepare for Working with an IT Company?
Partnering with an IT company is one of the most crucial steps modern businesses can take to enhance their efficiency and innovation. With access to the latest technologies and IT experts, companies can not only optimize their processes but also prepare for future challenges. This article explores why collaborating with a professional IT company is essential and how it can contribute to your business’s success. Introduction to IT Company Collaboration In the era of digital transformation, working with an IT company has become a cornerstone of growth strategies for modern businesses. Understanding how to effectively manage technology can significantly improve operational efficiency and drive innovation. A valuable technology partnership provides access to cutting-edge solutions and expert knowledge, which is critical for maintaining competitiveness in the market. Why is Collaboration with an IT Company Important? Partnering with an IT company allows businesses to focus on their core operations while complex technologies are professionally managed. IT companies offer a wide range of services, from infrastructure management to software development, enabling the implementation of innovative solutions. This allows businesses to concentrate on their primary activities while leaving technological challenges in the hands of specialists. Needs Analysis and Planning: How to Identify Your Company’s Requirements A thorough analysis of your company’s needs is the first step toward effective collaboration with an IT company. Understanding which processes can be optimized allows for strategic planning and the implementation of appropriate technological solutions. Internal process optimization, operational automation, and the deployment of data management systems are just a few possibilities worth considering. IT Budget Planning Proper IT budget planning is essential to avoid unexpected costs. Accurate expense estimation enables efficient resource management and a focus on priority areas of technological development. A well-planned budget enhances financial control and minimizes the financial risks associated with implementing new technologies. Choosing the Right IT Partner Selecting the right technology partner requires detailed analysis. It is crucial for the IT company to have experience and a positive reputation in the market. References from other clients and a track record of completed projects can provide valuable insights into the company’s competence and the quality of its services. If you’re looking for an experienced partner to help you execute ambitious technological projects, consider collaborating with Codari. Our company offers comprehensive IT services that support business growth at every stage. With our expertise and dedication, we deliver solutions tailored to the unique needs of each company. Contact us to discuss how we can achieve your goals together and enhance your business’s efficiency. Codari – Twój Zaufany Partner IT Let Codari become a part of your success – our team of experts is ready to help you fully harness the opportunities offered by modern technology. How to Prepare for Collaboration with an IT Company? Tools and Technologies Worth Knowing Familiarity with modern tools and technologies, such as CRM systems and cloud solutions, is essential for effective collaboration with an IT company. These technologies not only simplify project management but also support business growth and improve both internal and external communication. Effective Collaboration with an IT Company: Key Principles for Success Regular and open communication with your IT partner is the foundation of any successful collaboration. It is crucial for both parties to have clearly defined roles and responsibilities, as well as to regularly monitor project progress. This approach allows for the quick identification and resolution of potential issues, contributing to more efficient achievement of business objectives. Risk Management and IT Security Data security is one of the most critical aspects to focus on when working with an IT company. Regular security audits and proactive risk management enable a forward-thinking approach to data protection and help minimize potential threats. Elements of a Contract with an IT Company. What Questions Should You Ask an IT Company? Before signing a contract with an IT company, it is essential to ask the right questions about the technologies and tools the company plans to use. It is also important to find out what forms of technical support they offer and how quickly they respond to reported issues. Summary and Key Takeaways Working with an IT company is an investment that can bring significant benefits in terms of operational efficiency and innovation. However, the key to success lies in proper preparation, a thorough analysis of needs, and choosing a competent technology partner. Only in this way can the full potential of the collaboration be harnessed and the set business goals achieved.
12/15/2024
How to Choose a CMS for Your Business in 2026?
For most service businesses and marketing sites, WordPress is still the best choice — not because it’s the most popular one, but because it combines a low barrier to entry, solid SEO, and a huge plugin ecosystem. Headless CMS (Contentful, Strapi) and enterprise solutions make sense once the site is part of a bigger ecosystem — an app, multiple publishing channels, or a decoupled frontend. Start with a question about your content publishing process, not a feature list. Three approaches to a CMS — and when each makes sense Traditional CMS (WordPress, Joomla, Drupal) — backend and frontend are tied together. Best for starting out: low entry cost, intuitive to use, a huge community and ready-made plugins for almost any need. From our experience: a simple company site on WordPress usually takes days, not weeks — a headless build for the same scope tends to run longer, since you also have to build the presentation layer from scratch. Limits show up as you grow — every custom feature takes longer, performance becomes an issue at scale. Headless CMS (Contentful, Strapi, DatoCMS) — content is decoupled from presentation, available via API to any number of channels (site, app, internal system). The flexibility costs something: implementation needs a team that knows both backend and frontend (React, Vue), and upfront investment is higher. Enterprise CMS (Adobe Experience Manager and similar) — for organizations with very complex content management processes, multiple brands, or governance requirements. It’s a separate cost and implementation category — we’ve written about that separately if that’s your case. Which approach fits your business? Criterion WordPress Headless CMS Enterprise (AEM and similar) Starting cost Low Medium-high High Technical barrier Low High (backend + frontend) Very high Multi-channel flexibility Limited High Very high SEO out of the box Very good (Yoast and similar) Needs extra work Depends on implementation When to choose Company site, blog, services, marketing App + site + multiple channels at once Large organization, multiple brands, content governance How to approach the decision Start with the site’s role, not the technology. Is the site mainly presenting an offer and generating leads, or is it part of a bigger system (app, portal, multiple languages)? Check your team’s real competencies. Headless CMS without developers who know APIs and a frontend framework is an investment that won’t pay off quickly. Count maintenance cost, not just implementation. Headless and enterprise CMS usually cost more to maintain than to launch. Don’t choose based on what’s trending on LinkedIn. The decision should come from your content publishing model and business processes, not whatever’s popular right now. Does the CMS choice affect site security and performance? Yes, but the difference is more about maintenance than the technology itself. WordPress needs regular core, theme, and plugin updates — neglected, it becomes a frequent target for automated attacks, not because it’s technically worse, but because its popularity makes it a common target for mass scans. Headless CMS shifts some of the security responsibility to the frontend layer you build yourself — fewer ready-made plugins means fewer ready-made holes, but also more you need to handle on your own. Performance mostly comes down to hosting and configuration (caching, CDN), not the CMS choice itself — a well-configured WordPress site can outperform a poorly configured headless setup. Does a CMS help with SEO? The CMS itself won’t replace an SEO strategy, but it makes execution easier or harder. WordPress has mature plugins (Yoast, RankMath) for meta tags, friendly URLs, and sitemaps — that’s the standard today, not an edge. Headless CMS requires implementing the same things manually on the frontend — doable, but extra development work, not an out-of-the-box feature. The real impact on SEO more often comes from how a site is maintained (content freshness, speed, heading structure) than from the platform choice itself. FAQ Does WordPress still make sense in 2026? Yes — for a typical company site, blog, or service business, it’s usually the most logical option: low cost, good SEO, a large community. When is headless CMS worth considering? When your site is part of a bigger digital ecosystem — an app, multiple publishing channels, several language versions — and you have the team to run it. How is enterprise CMS different from headless? Enterprise CMS (like AEM) adds a governance and content management layer at multi-brand/multi-region scale — a different category from headless, which mainly decouples content from presentation. Does changing CMS affect SEO? It can, if the migration is done poorly (lost redirects, changed URLs). A well-planned migration shouldn’t hurt rankings. Not sure which CMS fits your process? Get in touch — we’ll walk through your content publishing model together. See also how we approach website and app development.
12/4/2024
How We Work at Codari – Requirements Analysis in an IT Project
When starting a new IT project, we are full of enthusiasm and can already envision the finished, brilliant product. However, it is important to thoroughly analyse the requirements at the outset. This is a crucial stage that can determine the success or failure of the project. Requirement analysis is fundamental! At Codari, as a team of software engineering and requirements management specialists, we understand these challenges and want to share with you our guide to the world of requirements analysis in IT projects. Requirements analysis as a key element Requirement analysis is a key element in IT projects, helping to determine how much time and money are needed. It plays an important role from the very beginning, when setting goals, through identifying functionalities, to resource planning. In this process, we gather information about the client’s issues, define objectives, and create a plan. It is also crucial to specify functional and non-functional requirements and develop use case scenarios. Many companies are starting to implement this process as they recognise how crucial it is for their success. Requirements analysis helps translate business needs into specific tasks for developers. It can also identify potential risks and support planning. All of this has a significant impact on the quality and cost of the final product. Many companies use IT outsourcing services or body leasing when there is a shortage of specialists for analysis or when requirements management tools are needed. In IT project analysis, it is crucial to set priorities to avoid adding unnecessary functionalities. A good understanding of requirements helps prevent mistakes and reduces the risk of failure. „The lack of proper requirements analysis can lead to escalating misunderstandings with the client and significantly prolong the software development process.” The Importance of Requirements Analysis in the Project Lifecycle and its Key Elements A well-conducted requirements analysis helps to understand the client’s needs. This makes it possible to plan the work accurately and allocate resources effectively, which in turn increases project efficiency and user satisfaction. In gathering requirements, key elements include: a thorough understanding of the client’s issues, clear project goals, an initial plan, and the definition of functional and non-functional requirements. It is also important to create use cases. These steps enable a comprehensive understanding of the needs and expectations for the IT system. Analysis of requirements in an IT project Requirements analysis is a key element in IT projects, helping to determine the time and money needed for their completion. It plays a crucial role from the very beginning of the project, starting with defining goals, identifying functionalities, and planning resources. During this process, we gather information about the client’s problems, establish objectives, and create an action plan. It is also important to define functional and non-functional requirements and develop use case scenarios. More and more companies are realising the importance of requirements analysis for their success and are beginning to implement this process. It helps transform business needs into specific tasks for developers. It can also identify potential risks and support planning. All of this has a significant impact on the quality and cost of the final product. Many companies use IT outsourcing services or body leasing when there is a lack of specialists for analysis or when requirements management tools are needed. In IT project analysis, setting priorities is key to avoiding the addition of unnecessary features. A good understanding of requirements helps prevent errors and reduces the risk of failure. „The lack of proper requirements analysis can lead to escalating misunderstandings with the client and significantly prolong the software development process.” The Importance of Requirements Analysis in the Project Lifecycle and Its Key Elements A well-conducted requirement analysis helps to understand the client’s needs, which in turn allows for precise project planning and effective resource allocation. This increases project efficiency and end-user satisfaction. In requirements gathering, key elements include accuracy, clarity, and alignment with business objectives. Types of Requirements in IT Projects Requirements analysis is a key stage in the design of IT systems, enabling the precise identification of the needs and expectations of both the client and end users. These requirements can be divided into several fundamental categories, each playing an important role in the software development process. Business Requirements These are the strategic needs of an organisation that an IT system is intended to address. They include goals such as improving operational efficiency, reducing costs, enhancing customer service, or increasing revenue. They define the business benefits the organisation aims to achieve through the implementation of a given system. Examples include shortening order fulfilment times or increasing the accuracy of sales forecasts. Functional Requirements Functional requirements focus on actions the system must be able to perform to meet business objectives. This includes specific functions and tasks such as user login, transaction processing, or generating reports. These requirements describe the system’s functionalities that are essential to meeting user needs and supporting use case scenarios. Examples include the ability to edit customer information or send automatic notifications about order status changes. Non-functional requirements Non-functional requirements pertain to the qualitative characteristics of a system and are just as important as its functionality. They include aspects such as performance, reliability, security, and usability. These requirements define how the system should operate and what quality standards it must meet. Examples include response time to a given query, maximum system load, or the level of personal data protection. Performance Performance refers to a system’s ability to process data quickly and handle multiple users simultaneously. Good system performance is crucial for user acceptance. Reliability Reliability indicates how often a system operates correctly and how quickly it can recover after a failure. High reliability minimises the risk of downtime, which is crucial for critical business applications. Safety Security involves protection against unauthorised access and safeguarding data from loss and breaches. Advanced encryption and authentication mechanisms are examples of meeting these requirements. Availability Availability means that the system is ready for use whenever it is needed, which is crucial for real-time applications. This also includes ease
11/26/2024
How we work at Codari – the first meeting.
The first conversation with Codari is very important because it is a key moment in building a relationship with the client. Do you want your project to succeed? At Codari, we provide not only a sense of security but also trust. Our culture is based on values such as transparency, honesty, and passion, which help us build strong relationships with our clients. We get to know your needs and goals so that we can prepare a precise project plan. During the first meeting with a client at Codari, our goal is to establish direct communication. We aim to understand the client’s needs deeply, as it is a critical moment to identify project goals and set requirements. We have a broad technological stack and can offer a lot. Form and Course of the First Conversation with Codari The first meeting may take place in person or via video conference, allowing us to establish closer communication with the client. During this meeting, we discuss planned activities and set the basic assumptions of the project. Defining Client Goals and Needs During the First Conversation with Codari A key aspect is the deep understanding of the client’s goals and needs. Hence, we analyze requirements and establish the project stages. We prepare a precise project brief, which becomes the foundation of our cooperation. Workshops and the Project Brief If necessary, we propose workshops for the client, during which we thoroughly analyze all aspects of the project. Then, we create a complete project brief that accurately defines the requirements and budget. The First Meeting Is a Key Moment The initial meeting is a crucial moment where we lay a solid foundation for our collaboration. Only by thoroughly understanding and recognizing the client’s needs can we design a project that fully meets their expectations. The Project Team and Its Role in Project Success At Codari, we assemble a project team with experienced specialists, including a Project Manager, UX/UI designers, developers, and testers. We conduct a detailed analysis of client requirements and define the project phases. We place great emphasis on both internal and external communication. This is critical for managing client relationships and ensuring project success. Team Composition and Competencies Our team is a cohesive group with diverse skills. Each member brings something unique, and together, we form a team capable of delivering complex projects. Work Methodology and Task Division We use proven methods such as Scrum and Kanban. These methodologies allow us to execute projects efficiently while thoroughly analyzing the client’s requirements. Our team works in iterations, dividing tasks. This enables us to quickly adapt to changes and continuously deliver value. Internal and External Communication Effective communication, both within the team and with the client, is very important to us. We hold regular meetings, exchange information, and monitor progress. This ensures high-quality client relationship management and timely project delivery. Collaboration Models and Payment Structures We establish collaboration models and payment structures during the first conversation with Codari, where we thoroughly discuss various aspects of cooperation and tailor our approach to the individual needs of our clients. At Codari, we specialize in business communication and client relationship management. We offer flexible collaboration models, carefully adapting them to each client’s specific requirements. Our primary goal is effective and transparent collaboration that helps both parties achieve shared objectives. Fixed Price vs. Time & Material The Fixed Price model provides our clients with cost predictability, making it advantageous for projects with a clearly defined scope. However, it can become more challenging to manage if changes occur. On the other hand, the Time & Material model offers greater flexibility, though estimating the final cost is more difficult. It’s an ideal solution for projects with undefined scopes or those requiring frequent changes. Subscription System We also offer a subscription system that provides ongoing support and allows for continuous development and optimization of projects. Milestone-Based Payments Additionally, we use milestone-based payments, which facilitate tracking progress and smoothly managing payments. We value openness and flexibility in our approach. Together with the client, we choose the best solution for a given project, ensuring efficient execution and satisfying results. Conclusion At Codari, we believe that our first conversation with the client is crucial because it lays a solid foundation for a successful partnership. We prioritize professionalism, flexibility, and a full understanding of the client’s needs. Our goal is to deliver top-quality services. From design and execution to implementation, we emphasize effective communication and adapt to individual client requirements. Our company is built on values such as commitment, innovation, and customer focus. We assemble project teams consisting of diverse specialists, enabling us to comprehensively meet our partners’ expectations. We analyze requirements, create wireframes and prototypes, and conduct thorough testing to deliver the highest-quality product. We offer a variety of collaboration and payment models, allowing us to meet the needs of any project. Our offerings are competitive and guarantee client satisfaction. The First Conversation with Codari – Key Benefits FAQ
11/21/2024
Modern Websites: Key Trends and Innovations in Design
In Poland, 85% of companies are planning to invest in modern websites. This highlights how quickly user expectations are evolving. Designers now have an opportunity to create even better websites. In this article, you’ll discover the key trends and innovations in website design for 2025. You’ll learn about the impact of artificial intelligence and the importance of automation. You’ll also get to know new tools for designers. Responsiveness, minimalism, and functionality will be crucial in design. We’ll cover topics such as content personalisation, SEO optimisation, and innovations in e-commerce. Enjoy the read! The Evolution of Modern Website Design in 2025 In 2025, web design will undergo significant changes, with one of the main factors influencing them being the development of technology. Artificial intelligence and automation will have a huge impact on these changes. Thanks to these advancements, designers and developers will be able to create new, more attractive and functional websites, allowing for better adaptation to users’ needs. The Impact of Artificial Intelligence on Design Artificial intelligence, especially in the context of design, plays a key role in modern creative processes. AI algorithms assist designers in analysing user data and optimising content, enabling the creation of more tailored and effective solutions. This provides designers with new tools that speed up their work and allow for the introduction of innovation. The Importance of Automation in the Process of Creating Modern Websites The automation of the web development process is completely transforming the way modern websites are designed. Web tools automate tasks such as generating responsive layouts, allowing designers to focus primarily on the creative aspect. As a result, their work becomes more efficient and innovation-driven, which, in the long run, benefits the entire design process. New tools for designers New web tools are emerging on the market that significantly support designers. With intelligent assistants and prototyping features, designers now have access to advanced tools that greatly simplify the creation of modern websites. This, in turn, allows them to make better use of the available technological resources. „Website design in 2025 will primarily be a symbiosis between humans and machines. Thanks to new technologies, designers will be able to focus on creativity, while routine tasks will be automated.” Responsiveness as a Standard of Modern Website Design In today’s world, where many people use a variety of devices, responsiveness has become a key element of modern web design. It ensures an excellent user experience on any device, which is crucial for mobile design and adaptive layouts. Modern responsive websites automatically adapt to the screen, whether you’re using a computer, tablet, or smartphone. The content is always readable, and interaction is easy, significantly enhancing the user experience. Responsive website design ensures a consistent and engaging experience. Regardless of the device, users value high quality and accessibility, which impacts their satisfaction and loyalty. „Responsiveness is not just a trend, it’s a necessity. Users expect websites to work perfectly on every device.” Modern websites are all about minimalism and functionality in interface design In today’s world, where every second counts, user interface design takes on crucial importance. Minimalist and functional interfaces are key to success. Modern websites need to be not only visually appealing but also easy to navigate, which is essential for a positive user experience. We would now like to discuss the principles that combine beauty with functionality and form the foundation for effective design. Modern Websites: Principles of Minimalist Design Minimalist interfaces are more than just a form; they are a design philosophy based on a few key principles: Balance between aesthetics and usability Functional design is more than just minimalism; it is also an aesthetic that attracts users and encourages interaction. Designers must strike a balance between aesthetics and usability, creating high-value functional designs that are both visually appealing and practical. Optimisation of space In UX optimisation, effective use of space is key. Well-designed interfaces make navigation easier and draw attention to important elements. They also help users find the information they need, resulting in a better user experience. „Minimalism is not just a form; it is a philosophy of design. It is the art of letting go of what is unnecessary and focusing on the essence.” The Role of UX/UI in Increasing Conversions In the rapidly evolving digital world, where competition is becoming increasingly fierce, user interface (UI) design and user experience (UX) play a crucial role. Investing in user-centred design is an incredibly effective way to boost conversions on your website. At Codari, we fully understand this and carefully design the user interface before the coding process begins. We invite you to see how we work. Modern websites are about designing user-oriented pages Understanding user needs is the foundation of good design, as it enables the creation of more intuitive solutions. Research and usability testing are invaluable, as they help develop interfaces that are user-friendly and intuitive. This allows users to make purchases more easily and quickly, resulting in greater satisfaction. Testing and optimising the interface We cannot stop at the design stage alone. Regular usability testing is essential as it helps to continually improve the interface, which in turn leads to better user experiences. This ensures that users can find what they are looking for on the website more quickly. Investing in UX/UI design is key to success, and usability testing along with conversion optimisation are crucial for achieving the intended goals. „User-centred design is the most effective way to increase conversions and build customer loyalty.” Modern websites ensure fast loading times, guaranteeing user satisfaction Loading web pages is incredibly important as it directly affects user satisfaction and the visibility of websites in search results. Let’s explore new technologies that can significantly improve website loading speeds, bringing numerous benefits. An example of a key technology is file compression, which is essential for optimising performance. Algorithms such as Brotli and Zopfli effectively reduce data size, allowing content to load much faster and minimising users’ waiting times. Optimising images and videos also plays an important role. It is crucial to
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