SWE-bench

SWE-bench is a benchmark focused on evaluating the ability of AI agents to fix real GitHub issues in software repositories.

Overview

Rustem Feyzkhanov of Snorkel AI identifies SWE-bench as a benchmark oriented specifically toward resolving GitHub issues, distinguishing it by its practical, repository-level software engineering task framing. From Agent Traces to Agent Simulations — Rustem Feyzkhanov, 5:16

SWE-bench is widely used in the AI agent engineering community as a standard measure of coding agent capability, particularly for assessing how well systems like Claude Code and other code-generation agents can navigate real-world software development workflows, including understanding codebases, diagnosing bugs, and producing valid patches.

Points of disagreement

No conflicting perspectives on SWE-bench are represented in the current graph material.