I always thought switching from a SOTA model to a dumber model after planning was a terrible idea.

Mostly I heard this from people who I got the impression have little experience in developing greenfield software with agentic AI. Often the same people who talk about spec frameworks.

I fundamentally disagree with the approach. I believe the ability to autonomously evaluate, test, and adjust during long horizon tasks is critical to using AI efficiently.