SWE-Hub: A Unified Production System for Scalable, Executable Software Engineering Tasks
Progress in software-engineering agents is increasingly constrained by the scarcity of executable, scalable, and realistic data for training and evaluation. This scarcity stems from three fundamental challenges in existing pipelines: environments are brittle and difficult to reproduce across languages; synthesizing realistic, system-level bugs at scale is computationally expensive; and existing data predominantly consists of short-horizon repairs, failing to capture long-horizon competencies like architectural consistency. We introduce \textbf{SWE-Hub}, an end-to-end system that operationalizes the data factory abstraction by unifying environment automation, scalable synthesis, and divers...
| Authors | Yucheng Zeng, Shupeng Li, Daxiang Dong et al. |
|---|---|
| Primary category | cs.AI |
| Published | 28 February 2026 |
| Last updated at source | 28 February 2026 |
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