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Do AGENTS.md/CLAUDE.md Files Help Coding Agents? A New Paper Challenges this
Latest   Machine Learning

Do AGENTS.md/CLAUDE.md Files Help Coding Agents? A New Paper Challenges this

Last Updated on March 4, 2026 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

Do AGENTS.md/CLAUDE.md Files Help Coding Agents? A New Paper Challenges this

Over the past year, adding an AGENTS.md or CLAUDE.md file to your coding repository has quietly become standard practice when using the coding agent. Agent vendors recommend it. Anthropic, OpenAI, and Qwen all encourage it. At the time of writing, over 60,000 public GitHub repositories already include one.

Do AGENTS.md/CLAUDE.md Files Help Coding Agents? A New Paper Challenges this

A new paper from ETH Zurich and LogicStar.ai — “Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?” is the first to rigorously test this assumption.

The research challenges the conventional wisdom that adding AGENTS.md or CLAUDE.md files boosts the efficiency of coding agents. Contrary to expectations, the results indicate that context files generated by LLMs often perform worse than having no context at all, highlighting a potential overload in information which can impair performance, especially in well-documented repositories. The study reveals that while human-written files demonstrate slight improvements, the cost of inference increases significantly, suggesting that agents may benefit from less redundancy in their instructions.

Read the full blog for free on Medium.

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