[ 01 / Overview ]
What this project does
A software-engineering agent focused on identifying and fixing repository issues.
Description from GitHub metadata
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]
Source: GitHub[ 02 / Use cases ]
When to use it
Automated bug repair, regression testing, and coding-agent evaluation.
[ 03 / Trade-offs ]
What to watch for
Benchmark scores cannot guarantee performance on your private codebase.
[ 04 / First test ]
Start with a small experiment
Use a public issue with a reproduction test and measure whether the patch resolves it.
This is a suggested test, not an experiment already conducted by DARC.DEV.
[ 05 / Alternatives ]
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Sources and methodology
GitHub stars, archive status, and license information were checked using the official GitHub REST API on October 15, 2026. Recommended use cases and first tests are editorial guidance, not an independently executed benchmark. A star count is not a measure of software quality.
Open the repository for its current status