Guides — Operating AI Coding Agents

Short, practical answers to the problems that come up when you operate an AI coding agent day to day. Each guide diagnoses one issue and points to the lesson in the course that teaches the underlying skill.

Context and instructions

• Why Claude Code ignores your CLAUDE.md
• Claude Code keeps losing context (context rot)
• AGENTS.md vs CLAUDE.md — does Claude Code read both?

These build on Context Engineering (Module 1).

Verifying what the agent wrote

• When the agent edits the test to make it pass
• A tech lead's review checklist for AI-generated pull requests
• Claude Code hooks to block test edits and auto-run checks

These build on Verification (Module 3).

Cost and judgment

• Why Claude Code burns tokens, and how to cut cost
• Why DORA metrics break for AI coding

These build on Judgment and Economics (Module 7).

Scaling and adoption

• Running parallel agents with git worktrees
• Rolling out AI agents without a mandate

These build on Orchestration (Module 5) and the capstone (Module 8).

New to the site? Start with the course itself.