At a glance
- Rank
- #268 of 401
- #12 of 28 Java repos
- Checks passed
- 7 of 17
- Full list below
- Best set up for
- Claude Code
- Score 66.2
- Needs most work for
- Aider
- Biggest fix: .aider.conf.yml (+14.1 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
- 2Linter / formatter configConfigure a linter/formatter (ESLint+Prettier, Biome, Ruff, rustfmt+clippy, golangci-lint) and commit the config.+7.9 pts
- 3Manageable sizeIf possible, split into smaller modules or carve out a focused entry path. Document where to start in AGENTS.md.+5.3 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 apache/beam 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
- 19 of 28 Java 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 apache/beam. Apache Beam is a unified programming model for Batch and Streaming data processing. Written mainly in Java.
## Where things are
- Dependencies are declared in `build.gradle.kts`.
- Test files are spread through the tree, e.g. `.test-infra/pubsub/test_image_looper.py`.
- CI is defined in `.github/workflows`; read it for the exact install, lint and test steps.
- Commit hooks are set up in `.pre-commit-config.yaml`; don't skip them.
- Use the `./gradlew` wrapper, not a system install.
- Follow the conventions in `CONTRIBUTING.md`.
## Commands
<!-- Fill in the exact commands CI runs. -->
- Install: TODO
- Test: TODO
- Lint: TODO
All 17 checks · 7 passed
How apache/beam compares
- vs leaderboard average
- 4.8 pts below
- Average 66.8
- vs Java average
- 0.8 pts above
- Average 61.2
- Stars among Java repos
- #24 of 28
Missing here, and how many repos have it
- Linter / formatter config · passed by 65% of leaderboard repos, 21% of Java repos
- Skills (.agents/skills) · passed by 17% of leaderboard repos, 4% of Java repos
- Cursor rules (.cursor/rules) · passed by 4% of leaderboard repos, 0% of Java repos
Passes checks most repos miss
- Pre-commit / git hooks · only 29% 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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Same topics, any language
Repos tagged with the same GitHub topics, most shared first.
- apache/seatunnel64.4Java · batch, streaming
- Rust · SQL, streaming
- apache/flink74.9Java · big data, SQL
- apache/spark73.6Scala · big data, SQL
- C++ · big data, SQL
- trinodb/trino58.6Java · big data, SQL
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Paste this at the top of the README. It shows the score, and links back to this page.
[](https://agentfriendlycode.com/repo/github/apache/beam)Check the score on every pull request
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