code-review

Coverage here focuses on the practice of reviewing code in a world where AI generates much of it. Expect discussion of how review workflows hold up under a flood of machine-written pull requests, what verification and accountability look like when authorship is blurred, and how maintainers redesign acceptance, testing, and credit. The throughline is keeping quality high without choking off contribution, whether the reviewer is a human, a model, or both working together.