A field guide for work that changes fast.
AI Labnotes turns volatile AI tooling into versioned, inspectable technical notes for developers and technical teams.
What we publish
We focus on coding agents, Claude Code, MCP, evals, security and the engineering practices around them. A useful page helps a reader reproduce a setup, understand a trade-off or make a decision.
What we do not publish
No synthetic trend summaries, untested best-of lists or anonymous claims dressed up as benchmarks. Short-lived releases update the relevant evergreen guide instead of creating an unnecessary new URL.
How to read a labnote
Every article shows its publication date, update state, source ledger and two information-bearing visuals. Comparisons are version-sensitive; conceptual diagrams are labeled as such.
Contact
Editorial corrections and source notes can be sent to info@seoforge.de. Commercial relationships never buy an editorial conclusion.