SWE-bench & SWE-bench Pro Explained
SWE-bench is a benchmark that tests whether an AI model can actually fix real GitHub issues from open-source Python repositories (like Django, Flask, scikit-learn, etc.). The model is given a repo, a bug report or feature request, and has to produce a code patch that makes the failing tests pass — without being told what to change. It’s considered one of the more meaningful coding benchmarks because it tests end-to-end software engineering ability: reading existing code, understanding context, making targeted changes, and not breaking other things. ...