Language model (LM) agents have driven substantial progress in automated software engineering (SWE), yet building and testing software repositories at scale remains a largely manual and labor-intensive bottleneck. In this work, we introduce RepoLaunch, a novel agentic framework that automatically resolves dependencies, compiles source code, and extracts test results across diverse programming languages and operating systems. RepoLaunch achieves a 78% build success rate, outperforming the Python\/Linux-only prior system by 18%. To demonstrate its application, we further present a fully automated pipeline for SWE dataset creation driven by RepoLaunch, which only requires human input at the task-design stage. RepoLaunch is open-sourced, and its automated task-generation pipeline has already been adopted by several recent works on agentic benchmarking and training.<\/p>\n","protected":false},"excerpt":{"rendered":"
Language model (LM) agents have driven substantial progress in automated software engineering (SWE), yet building and testing software repositories at scale remains a largely manual and labor-intensive bottleneck. In this work, we introduce RepoLaunch, a novel agentic framework that automatically resolves dependencies, compiles source code, and extracts test results across diverse programming languages and operating […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"text","value":"Kenan Li","user_id":0},{"type":"text","value":"Rongzhi Li","user_id":0},{"type":"text","value":"Linghao Zhang","user_id":0},{"type":"text","value":"Qirui Jin","user_id":0},{"type":"text","value":"Liao Zhu","user_id":0},{"type":"text","value":"Xiaosong Huang","user_id":0},{"type":"text","value":"Geng Zhang","user_id":0},{"type":"text","value":"Yikai Zhang","user_id":0},{"type":"text","value":"Shilin He","user_id":0},{"type":"text","value":"Chengxing Xie","user_id":0},{"type":"text","value":"Xin 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