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Paper · arXiv

Dockerless: Environment-Free Program Verifier for Coding Agents

Program verifiers play a central role in training coding agents, including selecting trajectories for supervised fine-tuning (SFT) and providing rewards for reinforcement learning (RL). Standard execution-based verification requires running unit tests inside per-repository environments such as Docker images, incurring substantial environment setup costs. We propose Dockerless, an environment-free agentic patch verifier that evaluates generated code patches without executing them. Rather than simply matching candidate patches to references, Dockerless judges patch correctness using evidence gathered through agentic repository exploration. On a verifier evaluation benchmark, Dockerless outp...

AuthorsWenhao Zeng, Yuling Shi, Xiaodong Gu et al.
Primary categorycs.SE
Published26 June 2026
Last updated at source26 June 2026
cs.SEcs.AI
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