The bottleneck isn't writing code anymore. It's understanding it.

As AI agents generate code at unprecedented speed, the real bottleneck has shifted from writing code to understanding and taking accountability for it. Reviewing AI-generated code is harder than reviewing human-written code because context must be rebuilt from scratch, making readability and good coding practices more important than ever. The author argues that established principles like DDD and Clean Architecture remain relevant — not for machines, but for the humans who must own what they ship. Not all software is equal: vibe-coded prototypes differ fundamentally from production-grade systems, and teams that skip code review risk outages and long-term slowdowns. The key insight is that generating code fast means nothing if you can't verify it works, doesn't break things, and solves the right problem.