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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."

Definitely, probably the interesting thing is that the acceleration doesn't seem to somehow distribute equally. I think probably because the scope has gone way up