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.
Autonomy level
50%
Comparisons
Custom Comparisons
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.
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