Code That Works, Environments That Don't: Measuring Environment Reproducibility in AI-Generated Software.

arXiv:2610.00425v1 Announce Type: cross Abstract: 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 cor