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For practical uses they are there. Arguably the frontier models are worse for some of these practical tasks. And keep in mind, people will use maybe frontier for 1/10th of the work, planning and review, and go open source for rest. The question is if they manage to impose outside us. If not, they are losing competitiveness.

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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.

Well, it's the enterprise software house pipeline... The software architect writes the spec, hands it down to the implementation team, senior leads, junior devs or offshore teams codes it.

I also disagree with the approach, this is cargo-culting the existing ways of working.

> this is cargo-culting the existing ways of working.

I think you mean the existing anti-patterns. They don’t call them ivory tower architects for nothing.

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