Using AI-Code Detection to Govern LLM-Written Code in Repositories
Treat AI-origin signals as review input, not proof. A practical approach to baselining and merge policy for LLM-generated code.
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Treat AI-origin signals as review input, not proof. A practical approach to baselining and merge policy for LLM-generated code.
Our team is adopting Sema's AI-assisted code review to make feedback more consistent across pull requests and reviewers. The documented capability we are relying on is AI-generated review comments that draw on repository context, and we can run them either as autonomous output on every PR or as drafts that a human reviewer approves or edits. The unresolved d