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SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can resolve issues in real GitHub repositories. On the SWE-bench, the SWE-agent resolves 12.47% of issues, achieving 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, and view, edit, and execute code files. We call this an Agent-Computer Interface (ACI).
Features
- My Movie 3 You can use SWE-agent either through a web interface
- SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can resolve issues in real GitHub repositories
- Documentation available
- On SWE-bench, SWE-agent resolves 12.47% of issues, achieving the state-of-the-art performance on the full test set
- SWE-agent is built and maintained by researchers from Princeton University
Project Samples
License
MIT LicenseFollow SWE-agent
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