SWE-Agent
Overview
An open-source AI tool that transforms large language models into software engineering agents capable of autonomously resolving issues in real GitHub repositories.
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SWE-Agent is an open-source platform developed by Princeton University's Natural Language Processing group that leverages large language models (LLMs), such as GPT-4, to function as autonomous software engineering agents. These agents can navigate codebases, identify and fix bugs, and resolve issues within real GitHub repositories. By utilizing a custom Agent-Computer Interface (ACI), SWE-Agent enhances the ability of LLMs to browse repositories, view, edit, and execute code files, thereby streamlining the software development process and improving efficiency.
Some of the use cases of SWE-Agent:
- Automating bug detection and resolution in software projects.
- Enhancing code quality and maintainability through AI-driven analysis.
- Reducing manual effort in issue resolution within development teams.
- Integrating AI capabilities into existing software development workflows.
SWE-Agent Video:
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