How I use AI agents to write code

A developer shares practical strategies for using AI coding agents effectively after transitioning from skepticism to adoption. Key recommendations include creating comprehensive CLAUDE.md files for project context, using automated tests as feedback loops, running separate AI sessions for code review to catch bugs, and leveraging agents for overnight work on side projects. The author acknowledges AI's limitations with UI work and novel projects, describes the shift toward an architect-like role focused on specs and review, but maintains reservations about using AI for open-source contributions due to ownership concerns.