The original title is: "AI makes code cheap but quality the bottleneck: code review data and team scaling strategies"

Short summary

AI has made code production cheap but quality the new bottleneck, with O'Reilly data showing code churn up 861% and defect rates rising from 9% to 54%. The core challenge shifts from producing solutions to building shared confidence that solutions are correct. Team-level AI adoption requires shared context infrastructure like ADRs and explicit decision records, not just faster individual loops.

• •AI increases code output faster than teams can review it, making code review the new bottleneck
• •O'Reilly data shows code churn up 861%, defect rates from 9% to 54%, median review duration up 441.5%
• •Team scaling requires shared context infrastructure (ADRs, domain language, review criteria) not just faster individual AI loops

Generated with AI, which can make mistakes.