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Author

Ashish Gehani

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AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Execution Reliability in LLM-Based Coding Agents

An empirical study of whether complete software artifacts generated by LLM coding agents can be executed in a clean environment using only the code, dependency specifications, and instructions the agent provides suggests that coding-agent evaluation should treat clean-environment executability as a first-class metric alongside functional correctness.

Bhanu Prakash Vangala, Ashish Gehani, Tanu Malik · 0 citations

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