micky-podcast-agentic-engineering

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 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.