SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?
The paper introduces SetupX, a framework designed to improve the setup of functionality-correct code repositories by learning from past failures. It addresses challenges faced by existing LLM agents in resolving diverse repository-specific issues. Evaluation results indicate that SetupX significantly outperforms existing solutions, achieving a 92% pass rate in complex multi-repository setups.
- ▪SetupX aims to enhance the configuration of execution environments for code repositories.
- ▪The framework incorporates a Self-Evolving Experience Representation to dynamically transfer verified fixes.
- ▪SetupX achieved a 92% pass rate in evaluations, outperforming the strongest baseline by over 19%.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.26186 |
| Publication time | Wed, 27 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-27T04:07:56.398Z |
| Last seen | 2026-05-27T04:07:56.398Z |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Software Engineering arXiv:2605.26186 (cs) [Submitted on 25 May 2026] Title:SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup? Authors:Zihang Zhou, Ziqian Ren, Yukai Wu, Yingjie Xiong, Wei Zhou, Chao Peng, Dong Zhang, Bingheng Yan, Xuanhe Zhou, Fan Wu View a PDF of the paper titled SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?, by Zihang Zhou and 9 other authors View PDF Abstract:Functionality-correct repository setup aims to configure execution environments (e.g., dependencies, build scripts) to successfully execute a repository's documented features.
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