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@@ -18,5 +18,5 @@ UC Berkeley, UIUC, CMU, Apple | *, ^ denotes equal contribution
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  We present SWE-Gym, the first environment for training real-world software engineering agents. We use it to train strong LM agents that achieve state-of-the-art open results on SWE-Bench, with early, promising scaling characteristics as we increase training and inference-time compute.
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- Get started at project page [swe-gym.github.io](https://swe-gym.github.io/)
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  We present SWE-Gym, the first environment for training real-world software engineering agents. We use it to train strong LM agents that achieve state-of-the-art open results on SWE-Bench, with early, promising scaling characteristics as we increase training and inference-time compute.
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+ Get started at project page [github.com/SWE-Gym/SWE-Gym](https://github.com/SWE-Gym/SWE-Gym)
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