About
Who built Agent Friendly Code, why, and what it is not.
Who
Built and maintained by Himanshu Singh . It is an independent project, not tied to Anthropic, OpenAI, Google, Cognition, Anysphere, or any other company whose agent is ranked here.
Why it exists
A repo that has a README is not the same as a repo that really helps an AI coding agent get work done. That gap keeps growing, and there is no public way to see which repos have done the work. Agent Friendly Code tries to show it, for each agent separately, because the agents are not the same. Claude Code wants an AGENTS.md and fast tests. Cursor wants strong types and a README that is easy to skim. Devin wants a dev setup it can run, with its dependencies and tests listed. One repo can score very differently for each of them. A single number would hide that.
What it is not
It is not a test of how well agents perform. Every score comes from simple file checks: does a file exist, and how long is it. No agent is actually run. The reasons behind each agent's weights come from that agent's own docs (linked on the methodology page). But the weight numbers are not yet tested against how agents really perform. Read the methodology for the details, including the plan to replace these weights with measured ones.
Open source
MIT-licensed. The checks, the weights, the scoring code, the list of repos, and every score are all in the source repository . If a score looks wrong, open an issue with a link and say which rule to look at again. If a check is missing, suggest one.
Contact
The best way to reach me: open an issue or discussion on GitHub .