Why AI coding tools will hit a wall unless they solve planning first

The current generation of AI coding tools is genuinely impressive. Give them a clear spec and they'll write production-quality code faster than most junior developers. That's real.

But here's what I keep seeing: the output is only as good as the input. And most teams are feeding these tools requirements that were vague to begin with.

Garbage in, garbage out just faster.

The real bottleneck was never how quickly code gets written. It was the clarity of what needs to be built before anyone starts writing. Requirements that drift. Architecture decisions made too late. Scope that wasn't defined tightly enough to survive contact with a sprint.

AI writing code faster amplifies the problem — it doesn't solve it.

The next generation of AI dev tools won't win on code generation speed. They'll win on what happens upstream: the requirements, the architecture, the plan.

What do you think — is planning the missing layer, or are we solving the wrong problem

entirely?