AI Glossary
What is SWE-Bench?
Overview
SWE-Bench is a software-engineering benchmark that tests whether AI systems can fix real GitHub issues inside existing repositories. It matters because coding agents are now judged less by toy coding prompts and more by whether they can understand bugs, edit multi-file codebases, run tests, and produce accepted patches.
Why it matters
SWE-Bench is one of the clearest signals for whether an AI coding agent can move from autocomplete into practical software maintenance.
Where it appears in AI research
- AI coding agent evaluations
- Model release benchmark tables
- Repository repair and bug-fixing papers
- Developer tool comparisons
Related terms
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The study introduces consequence-aware test-time compute allocation, improving compute efficiency by 22-33% over difficulty-aware methods. By prioritizing tasks based on potential costs of errors, the approach enhances performance across 700 software-engineering tasks in Lite and Multi-SWE-bench mini, ensuring high-consequence tasks receive adequate resources.