Definition
The AI code review bottleneck is the shift of scarce developer capacity from writing code to reviewing agent-generated pull requests as coding-agents increase commit and PR volume.
Key Points
- TED CTO Andy Merryman: AI raised productivity but PRs grew too large for reviewers (2026-08-02-github-changelog-stacked-pull-requests)
- stacked-pull-requests are a platform response: small dependency-ordered layers for parallel review
- Secondary coverage cites GitHub projecting ~14B commits in 2026 (COO Kyle Daigle / Latent Space) — attribute if used (2026-08-02-github-stacked-pull-requests-public-preview)