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This assumes:

- that you spend no amount of time looking things up, reorganising, or otherwise getting stuck

- that you have a solution to the problem ready to go at all times

- that your solution is better than the LLM's solution

I highly, highly doubt that all 3 of these are true. I doubt even 1 of them is true, I think you just don't know how to use LLMs in a focused way.

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I use AI to look things up and I try to learn. That part is speed up, but once I know how X works I’m faster doing it myself. My assumption is that most people seeing things differently, compare their performance of not knowing how X works with Claude, but not with someone who’s really good at X. Which makes a lot of sense given LLMS are prediction generators. My take is that the best use of AI is to get you to the point where you are really good with X and then naturally your AI usage will go down.

> but once I know how X works I’m faster doing it myself.

Survey says: Legacy coder.

what my experience says is that, when you get "really good" with X, then you can easily write a prompt that says exactly how it needs to be done and you'll be able to do it much faster than writing it all yourself because you know the important parts and the rest is just glue.

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