AI Coding Agents: Repo Rules, Living Docs & RAG Context
Treat custom rules and living docs as a RAG simulation: retrieve the right context fast so an agent solutions against your decisions instead of grepping at random.
About this course
A practical course on tuning coding agents with repo rules and living documents. You will design a small trusted corpus (rules, a what-doc, a how-doc), simulate retrieval without a vector store, write a ranker you can test, and see how stale docs produce confident wrong edits. Includes an in-page compiler lab, token-budget and assembly visualizers, and a stale-document trap.
Try the first lesson free
Read the opening of the course in full, no account needed.
Course index
- The Guessing Agent
- Design the Corpus
- RAG Without a Vector Store
- A Retrieval Function You Can Test
- Stale Context Is a Production Bug
- Session Assembly
- Better Solutioning
- Keep It Load-Bearing
Ends with a final quiz. Score 70% or better and you can download a completion certificate in your own name — shareable on LinkedIn and verifiable by its certificate code.