Practical knowledge on AI development, engineering productivity, and technology trends for CTOs, founders, and engineering teams.
Invisible characters, prompt injection, supply chain risks — the attack vectors targeting AI-generated code are getting more sophisticated. Here's how to protect your team and your codebase.
AI isn't just changing how code is written, but how developers work. What good Developer Experience looks like in 2026 — and why it matters more now than ever before.
An honest look at the state of the art. Where AI agents excel, where they fail, and how to set realistic expectations.
Google Research shows: agent systems scale better than single agents. What this means for your development workflows — and why specialized agent teams are the future.
Invisible Unicode characters, manipulated docs, poisoned issues — the attack surface on coding agents is growing. What security teams need to know now.
Can AI see my code? Where is data processed? What does the data protection officer say? The most important compliance questions for AI development — answered practically.
10-year-old codebases, undocumented business logic, missing tests. This is exactly where AI development delivers the most value — if you do it right.
OpenAI API + LangChain + custom orchestration — or a ready-made platform? The honest cost breakdown for both paths.
You're convinced, but your team is skeptical? A step-by-step guide for CTOs who want to introduce AI development — without resistance and without productivity loss.
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