karpathy/nanochat
GitHubThe best ChatGPT that $100 can buy.
- Stars:
- 60.2k
- Language:
- Python
- Default branch:
- master
- Last scored:
At a glance
- Rank
- #392 of 401
- #54 of 56 Python repos
- Checks passed
- 5 of 17
- Full list below
- Best set up for
- Claude Code
- Score 42.1
- Needs most work for
- Cursor
- Biggest fix: Cursor rules (.cursor/rules) (+11.5 pts)
What it has
What it's missing
What to fix first
Showing fixes for Claude Code
- 1AGENTS.md / CLAUDE.mdAdd an AGENTS.md covering project goals, layout, setup commands, and conventions. Aim for 800+ chars of real guidance (not boilerplate).+13.2 pts
- 2Reproducible dev envAdd a Makefile or devcontainer or Dockerfile so the agent can set up the project in one command.+11.8 pts
- 3Linter / formatter configConfigure a linter/formatter (ESLint+Prettier, Biome, Ruff, rustfmt+clippy, golangci-lint) and commit the config.+7.9 pts
Score for each AI agent
Each agent weighs the checks by its own docs. Under each score are its top three. How each agent is scored →
Does karpathy/nanochat have agent instructions?
An AGENTS.md (or CLAUDE.md) at the root tells AI coding agents how to build, test and work in the repo. A few agents also read a file of their own.
- AGENTS.md / CLAUDE.md
- None at the root (no AGENTS.md, CLAUDE.md, AGENT.md, .claude/CLAUDE.md or .claude/AGENTS.md)
- Agent-specific files
- None: no GEMINI.md, .cursor/rules, .openhands/setup.sh, .aider.conf.yml or .agents/skills
- Repos that have one
- 29 of 56 Python repos · 221 of 401 repos on the leaderboard · See examples →
Get a starter AGENTS.md
From the files the checks found. Fill in the commands, then commit it at the root.
# AGENTS.md
Guidance for AI coding agents working in karpathy/nanochat. The best ChatGPT that $100 can buy. Written mainly in Python.
## Where things are
- Dependencies are declared in `pyproject.toml`.
- Tests live in `tests`.
## Commands
<!-- Fill in the exact commands CI runs. -->
- Install: TODO
- Test: TODO
- Lint: TODO
All 17 checks · 5 passed
How karpathy/nanochat compares
- vs leaderboard average
- 27.5 pts below
- Average 66.8
- vs Python average
- 31.7 pts below
- Average 71.0
- Stars among Python repos
- #23 of 56
Missing here, and how many repos have it
- CI configuration · passed by 96% of leaderboard repos, 95% of Python repos
- CONTRIBUTING guide · passed by 86% of leaderboard repos, 88% of Python repos
- Type configuration · passed by 68% of leaderboard repos, 57% of Python repos
Passes checks most repos miss
- Manageable size · only 16% of repos pass it
One fix for the most agents: Linter / formatter config would raise the score for all 9 agents, by up to 14.1 points.
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Paste this at the top of the README. It shows the score, and links back to this page.
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