Tame Your Agents: AGENTS.md and Context Engineering for Deterministic AI
summary
How to turn chat assistants (Claude, Cursor, etc.) into reliable engineering partners by standardizing context with the AGENTS.md format. Covers the structure of an effective AGENTS.md (personas, boundaries, executable commands to reduce hallucinations), a TDD/BDD-assisted workflow that makes agents write tests before code (Red-Green-Refactor) to enforce SOLID principles, and techniques for managing conversational memory to prevent context rot on long tasks.
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chapters (11)
- 0:00Context engineering intro
- 3:58Agent demo without context
- 5:45Performance degradation
- 8:57Context importance
- 11:01AGENTS.md and CLOUD.md
- 15:45Three-phase architecture
- 20:11Prompt optimization
- 23:09Subagents and compaction
- 26:01Context rot alerts
- 28:29Key takeaways
- 29:53Resources and conclusion
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