erlang/otp

At a glance

Rank

#368 of 401

Checks passed

5 of 17

Full list below

Best set up for

Claude Code

Score 51.7

Needs most work for

Cursor

Biggest fix: Cursor rules (.cursor/rules) (+11.5 pts)

What to fix first

Showing fixes for Claude Code

1. 1
   AGENTS.md / CLAUDE.md

   Add an AGENTS.md covering project goals, layout, setup commands, and conventions. Aim for 800+ chars of real guidance (not boilerplate).
   +13.2 pts
2. 2
   Dependency manifest

   Commit a proper manifest (package.json, pyproject.toml, Cargo.toml, go.mod, etc.) plus a lockfile.
   +9.2 pts
3. 3
   Type configuration

   Add a type config (tsconfig.json for JS/TS, mypy.ini or pyrightconfig.json for Python). Rust/Go/JVM/Scala/Swift/C#/OCaml/Haskell/Zig are typed by default.
   +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 erlang/otp 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

221 of 401 repos on the leaderboard · See examples →

# AGENTS.md

Guidance for AI coding agents working in erlang/otp. Erlang/OTP. Written mainly in Erlang.

## Where things are

- Test files are spread through the tree, e.g. `erts/emulator/test/emulator.spec.win`.
- Lint and format rules are configured in `.formatter.exs`.
- CI is defined in `.github/workflows`; read it for the exact install, lint and test steps.
- A reproducible environment is defined in `.devcontainer/devcontainer.json`.
- Follow the conventions in `CONTRIBUTING.md`.

## Commands

<!-- Fill in the exact commands CI runs. -->
- Install: TODO
- Test: TODO
- Lint: TODO

How erlang/otp compares

vs leaderboard average

18.8 pts below

Average 66.8

One fix for the most agents: AGENTS.md / CLAUDE.md would raise the score for all 9 agents, by up to 13.3 points.

Similar repos

The repos closest to it in overall score.

• phpstan/phpstan49.0
  PHP · 14.2k ★
• swiftlang/swift47.9
  Swift · 70.5k ★
• jellyfin/jellyfin47.7
  C# · 59k ★
• anthropics/claude-code47.6
  TypeScript · 154.5k ★
• symfony/symfony47.3
  PHP · 31.2k ★
• gnachman/iterm247.2
  Swift · 1.5k ★