Learn how to keep AI-generated code high quality by building feedback loops into your Claude Code workflow — from do-work skills and pre-commit hooks to test-driven development with red-green-refactor.
What You Will Learn
- Is Code Cheap — Why treating code as disposable leads to software entropy and why quality still matters in the AI age
- Steering Agents to Use Feedback Loops with Skills — How to deterministically enforce code quality using skills instead of hoping the agent gets it right
- Building a Do Work Skill — Create a reusable skill that gives Claude Code a repeatable process for planning, implementing, and validating changes
- Using Our Do Work Skill — Test the do-work skill end-to-end by implementing an in-app notifications feature from a PRD
- Fixing Agents Broken Formatting with Pre Commit — Add Git pre-commit hooks with lint and type checks so every commit is validated automatically
- What Is Red Green Refactor — Understand the TDD cycle and how it creates tight feedback loops for safer AI-driven development
- Red Green Refactor — Update the do-work skill to use red-green-refactor for back-end code and direct implementation for front-end