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SWE-agent: Agent Computer Interfaces Enable Software Engineering Language Models

License: MIT License

Shell 10.75% JavaScript 10.19% Python 74.01% CSS 3.94% HTML 0.61% Dockerfile 0.51%

swe-agent's Introduction

Website & Demo | Documentation | Discord | Preprint

👋 Overview

SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can fix bugs and 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.

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

@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}
}

✨ Use SWE-agent as a dev tool

We provide a command line tool and a graphical web interface:

🚀 Get started!

All information is provided in our documentation:

and many more topics.

💫 Contributions

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!
If you'd like to see a post or tutorial about some topic, please let us know via an issue.

Contact person: John Yang and Carlos E. Jimenez (Email: {jy1682, carlosej}@princeton.edu).