Wojciech Kierzkowski

A practical, step-by-step approach to documenting undocumented legacy systems with AI, including where it breaks down and when it's worth running now.

Before you greenlight a "weekend build," here's what vibe coding can deliver, where it breaks, and how to tell if it fits your pitch.

What a 5-day AI-driven prototype sprint covers, where fast builds break in front of investors, and how to avoid the most common mistakes.

Two AI features can run the exact same model and still get opposite results. Human-AI interaction design usually explains why. Find out which four decisions make the difference.

Two decades of engineering experience, one AI transformation. What we changed since 2023, what didn't work, and what we run for clients today.

A single agent or a coordinated multi-agent system: the two architectures solve different problems. Here's how to tell which one fits your workflow.

If a vendor is still pitching ACP as your coordination layer, ask them one question. This article tells you which one – and what the honest answer should be.

An agent can complete a task, log success, and still get it wrong. This breaks down the six places it happens in production, from input handling to governance, and what actually stops it.

Almost every PHP shop claims Laravel expertise. Here are six Polish software houses with the reviews and project history to back it up.

Choosing Nuxt.js usually means your team already knows Vue and doesn't want to retrain around Next.js. The hard part is finding a partner who has actually shipped it in production. We checked six Polish companies against Clutch reviews and real case studies, from headless commerce specialists to full-cycle product teams, so you don't have to.

REST APIs and MCP servers solve different problems. Here is how to tell which one your AI agent integration actually needs, with a decision matrix and real build examples.

A hands-on walkthrough for building a minimal MCP server, connecting it to Claude, Cursor, and OpenCode, and testing it before it touches real data.

What an MCP server does, when it's worth building one, and how to scope authentication, tool access, and audit logging before writing any code.

A confident AI answer and a wrong one look identical. This guide breaks down the interface work behind trustworthy AI products: showing where an answer came from, signaling confidence honestly, and placing review checkpoints where a mistake actually costs something.

Rebuilding isn't the default answer. Here's how to retrofit AI into an existing product - and when it actually makes sense to rebuild.

What to decide before building an AI MVP - from data readiness and model choice to fallback behavior and kill criteria.

GDPR compliance built in by default. The deepest Java talent pool in Europe. Senior engineers at rates Western Europe can't match. Here's why AI-agent-driven technical debt reduction increasingly runs out of Poland.

Netflix built its only engineering hub outside the U.S. in Poland. See what that says about hiring an engineering team in Poland, and what to ask first.