Use language models to 🐛 fix issues in real GitHub repositories, ⛳️ solve coding challenges, and 🔥 crack offensive cybersecurity challenges
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SWE-agent is an organization on GitHub that focuses on utilizing language models for various software engineering tasks. Their public repositories primarily feature projects in Python, JavaScript, and HTML, including notable works like SWE-agent, which automates issue fixing, and mini-swe-agent, a compact AI solution for GitHub challenges.
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
Sandboxed code execution for AI agents, locally or on the cloud. Massively parallel, easy to extend. Powering SWE-agent and more.
Tutorial on how to build a minimal software engineering agent that still scores high on SWE-bench verified
Repo with very simple issues to test swe-agent
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Hosting ground for readme media/videos of all projects
mini-agent.ai source
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SWE-agent develops tools that leverage language models to address issues in real GitHub repositories. Their projects range from automated issue resolution to tutorials on creating efficient software engineering agents.
SWE-agent primarily uses Python, JavaScript, and HTML in their projects. These languages are employed across various repositories to address coding challenges and enhance software engineering practices.
Yes, SWE-agent maintains a collection of public repositories on GitHub. These repositories are accessible to anyone and showcase their innovative approaches to software engineering and cybersecurity challenges.
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