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Code That Works, Environments That Don't: Measuring Environment Reproducibility in AI-Generated Software
Code generation has emerged as a central capability of large language models, with coding agents now able to produce functionally correct software projects from natural language prompts. However, functional correctness alone does not capture a critical dimension of generation quality: environment sp
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