I would reconcile the seeming paradox that AI-assisted coding produces more code faster, yet doesn't seem to produce products or features much faster by considering that AI code generation and in particular CoPilot-style code suggestions means the programmer is constantly invalidating and re-building their mental model of the code, which is not only slow but exhausting (and a tired programmer makes more errors in judgement).
It's basically the wetware equivalent of page thrashing.
My experience is that I write better code faster by turning off the AI assistants and trying to configure the IDE to as best possible produce deterministic and fast suggestions, that way they become a rapid shorthand. This makes for a fast way of writing code that doesn't lead to mental model thrashing, since the model can be updated incrementally as I go.
The exception is using LLMs to straight up generate a prototype that can be refined. That also works pretty well, and largely avoids the expensive exchanges of information back and forth between human and machine.
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