From Prompts to AGENTS.md: What Survives Across Thousands of Runs
summary
Stress testing Claude Code and codex across thousands of runs yields concrete rules: a reproducible template to turn traces into AGENTS.md entries, orchestration guidance (when to use parallel runs vs. lightweight hierarchy), and context defaults that cut latency and cost. Experiments with ~20-agent arenas show arena + reflection raises solution scores more cheaply than rebuilding, but adding explicit AGENTS.md rules can surprisingly increase token use while improving quality. A GitHub survey supplies typical AGENTS.md sizes and sections for immediate reuse.
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chapters (9)
- 0:00The evolution of coding agents
- 2:00Data-driven agent workflows
- 5:22Understanding agents.md
- 7:23Influencing agent behavior
- 10:26Skills and analytical tools
- 12:43Context engineering techniques
- 14:26Multi-agent orchestration
- 18:24Arena and refinement mode
- 20:29Leveraging GitHub patterns
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