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My impression is that AI coding is on a "pick two of three" triangle: scope, ship speed, and correctness. Small tools are (speed + correctness) fast prototypes are (speed + scope) and big projects are (scope + correctness). Every project that tries to be all three degrades to "fast prototype."

It hits differently, and I would argue it hits differently based on experience (seniority is a thin proxy for this). The people I know most productive with the agents are the most senior folks.

Yeah I'm curious whether that's a permanent relationship (experience -> productivity) or if experienced engineers are just picking the tools up faster

I’m curious too because if it’s permanent (as I suspect, because I suspect the missing piece here is judgement), that’s very bad, because how do you train up juniors? If it’s the latter, that’s a lot less worrisome.

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