Awesome

<p align="center"> <a href="https://www.swe-agent.com/"> <img src="assets/swe-agent-banner.png" alt="swe-agent.com" /> </a> </p> <p align="center"> <a href="https://swe-agent.com"><strong>Website & Demo</strong></a>  |   <a href="https://princeton-nlp.github.io/SWE-agent/"><strong>Documentation</strong></a>  |   <a href="https://discord.gg/AVEFbBn2rH"><strong>Discord</strong></a>  |   <a href="https://arxiv.org/abs/2405.15793"><strong>Preprint</strong></a> </p>

SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can resolve issues in real GitHub repositories.

On SWE-bench, SWE-agent resolves 12.47% of issues, achieving the state-of-the-art performance on the full test set.

We accomplish our results by designing simple LM-centric commands and feedback formats to make it easier for the LM to browse the repository, view, edit and execute code files. We call this an Agent-Computer Interface (ACI). Read more about it in our paper!

SWE-agent is built and maintained by researchers from Princeton University.

My Movie 3

You can use SWE-agent either through a web interface (shown above) or through the command line.

🚀 Get started!

👉 Try SWE-agent in your browser: (more information)

Read our documentation to learn more:

Our most recent lecture touches on the project's motivation, showcases our research findings and provides a hands-on tutorial on how to install, use, and configure SWE-agent:

💫 Contributions <a name="contributions"></a>

If you'd like to ask questions, learn about upcoming features, and participate in future development, join our Discord community!
If you'd like to contribute to the codebase, we welcome issues and pull requests!

Contact person: John Yang and Carlos E. Jimenez (Email: johnby@stanford.edu, carlosej@princeton.edu).

📝 Citation <a name="citation"></a>

If you found this work helpful, please consider citing it using the following:

@misc{yang2024sweagent,
      title={SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering},
      author={John Yang and Carlos E. Jimenez and Alexander Wettig and Kilian Lieret and Shunyu Yao and Karthik Narasimhan and Ofir Press},
      year={2024},
      eprint={2405.15793},
      archivePrefix={arXiv},
      primaryClass={cs.SE}
}

🪪 License <a name="license"></a>

MIT. Check LICENSE.

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