Multi-SWE-bench

Scaling data for SWE-agents (NeurIPS 2025 D&B Spotlight). A toolkit for automatically generating large-scale training datasets for software engineering agents.

SWE-bench is a benchmark for evaluating language models on real-world GitHub issue resolution, featuring genuine problems from popular Python repositories, now a core standard for measuring AI coding agent capabilities.

Augment SWE-bench Agent is the number one open-source SWE-bench Verified implementation, demonstrating how to build high-performance software engineering agents to automatically resolve GitHub issues.

An open-source asynchronous coding agent by LangChain built on LangGraph, autonomously handling software engineering tasks including code generation, debugging, and file editing.