huggingface/Repo2RLEnv
Repo2RLEnv converts code repositories into verifiable reinforcement-learning environments for coding agents.
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Repo2RLEnv is a Python tool that turns arbitrary repositories into Harbor-format RL environments that coding agents can be trained and evaluated on. It provides pipelines for environment construction, an agent called Tasksmith that builds environments, and publishes the resulting datasets to the Hugging Face Hub. The project targets the reinforcement-learning loop for coding agents, producing tasks with programmatic success checks.
Frequently asked
- What is huggingface/Repo2RLEnv?
- Repo2RLEnv converts code repositories into verifiable reinforcement-learning environments for coding agents.
- Is Repo2RLEnv open source?
- Yes — huggingface/Repo2RLEnv is open source, released under the Apache-2.0 license.
- What language is Repo2RLEnv written in?
- huggingface/Repo2RLEnv is primarily written in Python.
- How popular is Repo2RLEnv?
- huggingface/Repo2RLEnv has 681 stars on GitHub.
- Where can I find Repo2RLEnv?
- huggingface/Repo2RLEnv is on GitHub at https://github.com/huggingface/Repo2RLEnv.