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What I learn building agents, platforms and processes. No inflated theory — just what already worked (or failed).
Field notes on applied AI.
What I learn building agents, platforms and processes. No inflated theory — just what already worked (or failed).
★ Most recentBringing a RAG to production without losing your mind
Lessons from the conversational agent we built on LangChain + Weaviate: chunking, verifiable citations, evaluations and the boring part nobody talks about.
Spec-Driven Development: from prompt to product
Why writing specs before asking an agent for code totally changes the result — and how we're integrating it with MCP.
MCP in practice: 3 integrations that changed my workflow
MCP sounds abstract until you plug it into your Jira, your repo and your documentation. Here are the three servers that save me the most time.
Monolith → microservices migration: 7 lessons
What I learned leading the Jackcore migration. Spoiler: the technical part is the easy part.
Open source models: when yes, when no
An honest guide to choose between a closed model and an open-source one based on your use case, budget and data restrictions.
AI on pull requests: how not to break the team
Automating PR review sounds great until the bot starts commenting everything. Rules, prompts and limits.