Use when building software with AI agents and you need a serious end-to-end workflow instead of vibe coding. Covers harness choice, context discipline, cleanup, review loops, launch pressure, and security basics.
Use after an AI-built feature works but the code has duplicated mechanics, repeated API calls, or messy structure. Guides a cleanup pass that extracts reusable service-layer modules without changing behavior.
Use when you have a small PR or feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready. Works with AI reviewers, Greptile-style review, or human feedback.
Use when multiple workflows duplicate the same operational logic, when deciding what belongs in actions vs shared services, or when refactoring repeated operational blocks across domain flows. Use when adding new features that share mechanics with existing ones.
Use when an AI coding agent is guessing API names or framework behavior from incomplete docs. Shows how to provide local source-code references so the agent searches the real implementation before coding.
★not rated 5 2mo agoA39 tokens
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