The Bottleneck Moved, and Most Teams Haven't Noticed For twenty years, writing code was the constraint. Requirements, architecture, review, and deployment all had time to keep pace because the writing step was slow enough to be the natural governor of the system. That's no longer true. AI coding assistants and autonomous agents have accelerated code generation dramatically. CircleCI's 2026 State of Software Delivery report measured a 59% increase in average engineering throughput last year. Developers using AI tools complete 21% more tasks and merge 98% more pull requests. But here's the number that matters: PR review time increased 91%. The bottleneck didn't disappear. It moved one step downstream — to the humans who have to understand, verify, and approve all that new code. The Math Doesn't Work LinearB analyzed 8.1 million pull requests across 4,800+ engineering organizations and the pattern is clear: teams are producing more code with the same review capacity they had two years ago.…