How I Collaborate with AI at Work: 5 Practical Principles
The article outlines a systematic approach to working with AI by treating context as infrastructure, encoding preferences in configuration files, front‑loading validation, progressively delegating larger tasks, and closing the feedback loop, with concrete examples of directory organization, CLAUDE.md onboarding, skill files, hooks, and session monitoring.
