# Repository-to-RLenv

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Artemii Shirokov](https://cerebralvalley.ai/u/apshirokov)
- **GitHub:** https://github.com/tema7707/Repository-to-RLenv
- **Website:** https://colab.research.google.com/github/tema7707/Repository-to-RLenv/blob/main/notebooks/repo2env_grpo_training.ipynb
- **Demo video:** https://youtu.be/x2kjw0k3EHk
- **Hugging Face:** https://huggingface.co/collections/tema7707/repository-to-rlenv
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/10

Repository-to-RLEnv converts real Python repositories into executable RL environments for code agents. With one Claude Code MCP command, it inspects a repo, finds a clean test scope, creates a staged copy, injects a small source-code bug, verifies the failing tests, generates task metadata, validates the environment, and deploys it to Hugging Face Spaces as a live OpenEnv environment.

The result is a repo-level RL environment where an agent can read files, edit code, run tests, and submit fixes while receiving rewards from the real test suite. I also built a web UI for running episodes on deployed Spaces.

The problem this solves is improving the quality of AI coding assistants for YOUR own codebase.

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Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/10. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt