SDLC bottlenecks worsen as AI code review lags

The author argues that accelerating code generation with AI without rebalancing downstream stages and learning mechanisms creates operational bottlenecks, quality risks, and comprehension gaps. Faster coding throughput increases unmanaged queues and maintenance costs unless organizations explicitly manage workflow constraints and ensure teams retain the capability to maintain and recover the systems they own. Open article →