DeepSWE-Preview：开源编码智能体通过强化学习达到 SOTA
原标题：DeepSWE: Training a Fully Open-sourced, State-of-the-Art Coding Agent by Scaling RL
AI 摘要
Together AI 与 Agentica 团队合作推出 DeepSWE-Preview，这是一个基于 Qwen3-32B 并通过纯强化学习训练的开源编码智能体，在 SWE-Bench-Verified 上达到 59% 的准确率，创下开源权重编码智能体的新纪录。该模型使用 Agentica 的 rLLM 框架训练，并开源了数据集、代码、训练和评估日志。训练过程利用 Kubernetes 扩展环境，解决了 Docker 容器管理瓶颈。
正文节选
Through a joint collaboration between the Agentica team and Together AI, we introduce DeepSWE-Preview, a reasoning-enabled coding agent trained from Qwen3-32B with only reinforcement learning (RL). It achieves an impressive 59% on SWE-Bench-Verified with test-time scaling, reaching SOTA for open-weight coding agents (42.2% Pass@1, 71.0% Pass@16). DeepSWE is trained using rLLM, Agentica's framework for post-training language agents. We've open sourced everything—our dataset, code, training, and