Building software repositories typically requires significant manual effort. Recent advances in large language model (LLM) agents have accelerated automation in software engineering (SWE). We introduce RepoLaunch, the first agent capable of automatically resolving dependencies, compiling source code, and extracting test results for repositories across arbitrary programming languages and operating systems. To demonstrate its utility, we further propose a fully automated pipeline for SWE dataset creation, where task design is the only human intervention. RepoLaunch automates the remaining steps, enabling scalable benchmarking and training of coding agents and LLMs. Notably, several works on agentic benchmarking and training have recently adopted RepoLaunch for automated task generation.
@article{arxiv.2603.05026,
title = {RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform},
author = {Kenan Li and Rongzhi Li and Linghao Zhang and Qirui Jin and Liao Zhu and Xiaosong Huang and Geng Zhang and Yikai Zhang and Shilin He and Chengxing Xie and Xin Zhang and Zijian Jin and Bowen Li and Chaoyun Zhang and Yu Kang and Yufan Huang and Elsie Nallipogu and Saravan Rajmohan and Qingwei Lin and Dongmei Zhang},
journal= {arXiv preprint arXiv:2603.05026},
year = {2026}
}