@feld @phryk yeah, i think i'm mostly sceptical that that's any significant fraction of the job though? like 99% of coding work is surely working on a massive codebase you already know inside out, and most of the rest is working in languages and frameworks you know really well?

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@andrewt @feld @phryk Can confirm. I've been using two AI assistants for a little while now (GitHub CoPilot and CodeGPT). They're absolutely fantastic as learning assistants, and 9 times out of 10 they can pull documentation and customize it to match my context faster than I could pull the docs alone.

But, for the day-to-day work of operating in large pre-existing codebases, they're only a fraction as useful. I don't use CodeGPT at all in those situations and CoPilot only provides like 10-20% of the productivity boost it does in fresh codebases.

That said, though, they still do have moments where they can shine, even in big codebases, mostly in really common (but repetitive) patterns like serialization or response handler scaffolding.

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