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openai.com·4h ago
AI Research
arXiv CS.AI·8d ago·5 min read
daVinci-Env: Open SWE Environment Synthesis at Scale
TL;DR
OpenSWE is a groundbreaking framework for training software engineering agents, featuring over 45,000 executable environments. It achieves state-of-the-art performance on benchmarks while ensuring high-quality, diverse training data.
✦ Why It Matters
Explore OpenSWE to enhance your SWE agent training with high-quality, diverse environments.
Key Takeaways
- Utilize OpenSWE for scalable SWE agent training.
- Leverage the quality-centric filtering for effective learning.
- Explore the 45,320 Docker environments for diverse testing.
- Achieve state-of-the-art results with OpenSWE-32B and OpenSWE-72B.
How It Works
OpenSWE employs a multi-agent synthesis pipeline that automates the exploration of software repositories, construction of Dockerfiles, and generation of evaluation scripts. This process is executed across a distributed cluster, allowing for efficient environment creation and iterative test analysis.
A quality-centric filtering mechanism assesses the difficulty of each environment, ensuring that only those that are solvable and sufficiently challenging are included in the training set.