AI-generated code is becoming mainstream, with over 30% of senior developers shipping mostly AI-written code by early 2026. However, AI-generated code contains 75% more logic errors and 45% security flaws compared to human code. The key shift is that code review now focuses on verification and accountability rather than line-by-line inspection. Solo developers can ship at "inference speed" by relying on comprehensive automated testing, while teams must maintain human oversight for security, context sharing, and maintainability. The bottleneck has moved from writing code to proving it works through evidence like tests, manual verification, and clear documentation of AI's role.
Table of contents
How developers use AI for reviewSolo vs. Team: A quick comparisonSolo Devs: Shipping at “inference speed”Teams: AI shifts review bottlenecksThe PR Contract: What authors owe reviewersLooking Ahead: The bottleneck has moved8 Comments
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