SWE-Agent

Be First To Review
SKU: swe-agent
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.
AI software engineering bug fixing GitHub integration open-source developer productivity
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 demonstrates high autonomy through its ability to independently interact with GitHub repositories using configurable agent-computer interfaces (ACIs), execute code in isolated Docker environments, and resolve software engineering issues without human intervention. Its architecture supports autonomous file navigation, code editing, test execution, and patch generation for real-world GitHub issues. While achieving state-of-the-art 12.29% resolution rate on SWE-bench (rising to 40.6% when combined with critic-guided search), limitations include dependency on pre-configured environments and occasional reliability issues in complex task execution. The system's ability to chain model-generated actions through specialized terminals and manage installation dependencies autonomously positions it significantly above basic coding assistants but below fully general AI systems.
Open Source
Contact