SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?

• URL: http://arxiv.org/abs/2605.26186v2
• Date: Wed, 27 May 2026 04:01:59 GMT
• Title: SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?
• Abstract summary: repository setup aims to configure execution environments (e.g., dependencies, build scripts) to successfully execute a repository's documented features.<n>It presents significant challenges due to diverse, repository-specific failures, including dependency incompatibilities, missing toolchains, incomplete installations, and verification-strategy mismatches.<n>Existing agents struggle to support cross-repository experience transfer, multi-step trial-and-repair under non-invertible state changes, and robust verification of setup outcomes to distinguish setup-induced failures from repository bugs.
• Score: 15.31223781543037
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Functionality-correct repository setup aims to configure execution environments (e.g., dependencies, build scripts) to successfully execute a repository's documented features. It presents significant challenges due to diverse, repository-specific failures, including dependency incompatibilities, missing toolchains, incomplete installations, and verification-strategy mismatches. Existing LLM agents struggle to robustly resolve these issues, specifically failing to support (1) cross-repository experience transfer, (2) multi-step trial-and-repair under non-invertible state changes, and (3) robust verification of setup outcomes to distinguish setup-induced failures from repository bugs. To address this, we introduce SetupX, an experiential learning-based setup framework. First, we construct a Self-Evolving Experience Representation (XPU), a dual-modality knowledge unit encoding setup signals, textual guidance, executable actions to dynamically transfer verified environment fixes to unseen repositories. Second, we employ Experience-Augmented Speculative Execution backed by a LIFO Docker snapshot stack, enabling the agent to proactively trial fixes and safely roll back to known-good states. Third, we introduce a Prosecutor-Judge Verification Protocol that separates evidence collection from final judgment, enabling more reliable setup verification beyond superficial build-time metrics. Evaluation results on carefully-crafted benchmarks show SetupX achieves highest performance (e.g., 92% pass rate) and outperforms the strongest baseline by over 19%. Crucially, SetupX excels in complex multi-repository setup requiring coordinating multiple interconnected services across different containers. The code repository is available at https://github.com/OpenDataBox/SetupX.

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