Journal
AI in everyday engineering.
Notes on AI workflows, tooling, and practical engineering. No tutorials — observations from day-to-day operation.
5 lessons from 12 months of AI workflows
A retrospective after a year of active use. What has held up, which anti-patterns I ran into.
AI workflows · 12 min
How I structure prompts.
What separates a technically useful prompt from a random one. Anatomy, mistakes, examples.
Prompting · 7 min
Using CLAUDE.md right.
What belongs in a project CLAUDE.md, what belongs in a global one, what should be cut.
Tooling · 6 min
Context engineering — what you actually need to give the model.
Why token discipline matters more than a bigger context window.
AI workflows · 8 min
Agent delegation in practice.
Which agent for which task — and why the right delegation is often more important than the next model update.
AI workflows · 9 min
Introducing AI safely.
What teams should clarify early: data protection, secrets, screenshots, permissions.
Security · 7 min
Choosing AI tools right.
Without the hype, but with a system. Models, editors, and agent workflows by task, risk, team context.
Tooling · 6 min