Pith. sign in

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

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
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 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.

fields

cs.CL 1 cs.SE 1

years

2026 2

verdicts

UNVERDICTED 2

representative citing papers

Dockerless: Environment-Free Program Verifier for Coding Agents

cs.SE · 2026-06-26 · unverdicted · novelty 7.0

Dockerless uses agentic repository exploration to verify patches without execution, enabling SFT and RL training of coding agents that reach 62.0/50.0/35.2% resolve rates on SWE-bench Verified/Multilingual/Pro while matching environment-based results.

citing papers explorer

Showing 2 of 2 citing papers.