AI-generated code introduces a fundamental challenge to version control: prompts are specifications, not deterministic source code. Unlike traditional builds, LLM outputs are non-deterministic and hard to replicate due to probabilistic behavior, model deprecation, and context dependencies. Prompts should be tracked alongside commits for learning, intent verification, and efficient code review, though this requires redaction capabilities for privacy and professionalism. The emerging practice suggests treating AI contributions as attributed context rather than reliable build inputs, with a minimum standard of using AI to write commit messages for AI-generated