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RepoLaunch automates software repository builds, boosting success rate

Researchers have developed RepoLaunch, a new framework designed to automate the creation and management of software repositories across various programming languages and operating systems. This system successfully builds and tests code, achieving a 78% build success rate, which is an 18% improvement over previous language-specific systems. RepoLaunch has also been used to create an automated pipeline for generating software engineering datasets, and the framework has been open-sourced and adopted by other research projects. AI

IMPACT Automates software development infrastructure, potentially accelerating agentic SWE research and dataset creation.

RANK_REASON The cluster contains a research paper detailing a new framework for software engineering automation. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin, Dongmei Zha… ·

    RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms

    arXiv:2603.05026v2 Announce Type: replace-cross Abstract: 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 …