The best ones gave our coding agent a quality jump equivalent to upgrading from Haiku to Opus. The worst ones made the output worse than having no AGENTS.md at all. That gap was surprising enough that we built a systematic study around it. What we found: most of what people put in AGENTS.md either doesn't help or actively hurts, and the patterns that work are specific and learnable. The same file can help one task and hurt another by 30% A single AGENTS.md isn't uniformly good or bad.
A good AGENTS.md is a model upgrade. A bad one is worse than no docs at all.
This article emphasizes that the quality of `AGENTS.md` files is crucial for the effectiveness of AI models within a software development context. A well-written `AGENTS.md` acts as a significant enhancement, effectively upgrading the AI model's capabilities. Conversely, poor or absent `AGENTS.md` documentation can be more detrimental than having no documentation at all, underlining its critical role in AI agent performance. This suggests that precise and effective documentation is vital for opt

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