Opinionllmcode reviewpytorchdeveloper experience
Teams Reconfigure Code Review For LLMs
6.1
Relevance ScoreOn December 20, 2025, a PyTorch contributor describes experience submitting and reviewing Claude-assisted pull requests merged into PyTorch's codebase. They argue code review should shift from mechanical defect-finding to human alignment, focusing reviewers on system invariants and higher-level explanations rather than low-level fixes. The piece advises authors to pre-align LLM outputs, provide system context, and treat reviews as means to transmit mental models within teams.



