AI Coding Agents Are Fast, But Review Bottlenecks Erase the Speed Gains

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AI coding agents can generate a pull request in seconds, but engineers often spend hours reviewing the output for correctness, a hidden productivity cost the author terms the 'Audit Tax.' According to LinearB's 2026 Software Engineering Benchmarks Report, AI-generated PRs take 4.6 times longer to review than human-written ones, making review the primary bottleneck to AI engineering productivity. Traditional code-review shortcuts — like flagging sloppy formatting or thin documentation — no longer apply, since agent-written code consistently appears clean and confident regardless of whether it actually works. The author recommends a layered verification approach: cheap deterministic checks like tests and linting first, followed by an AI review subagent that checks intent against the diff, and finally a human sign-off before production. Teams are advised to measure the gap between PR generation time and merge time, then systematically reduce it by adding CI gates, intent-aware review passes, and evaluation sets built from real past agent failures.

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