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This. LLMs are good at stuff that is very general (is often in the dataset). What i gain most from LLM is when i use it to teach me - like extended documentation.

But to make unique solutions you will get pretty random results and worse you are not building understanding and domain knowledge of your program.

Claude Code sounds cool until it makes 3 changes at once 2 of which you are unsure if they are required or if they wont't break something else. I like it for scripts, data transformations and self contained small programs where i can easily verify correctness.



> What i gain most from LLM is when i use it to teach me - like extended documentation.

This, yes. What I do now is use Claude but expressly tell it do not edit my code, just show me, I want to learn. I'm not a very experienced dev so often it'll show me a pattern that I'm unfamiliar with.

I'll use that new knowledge, but then go and type out the code myself. This is slower, in the moment. But I am convinced that the long-term results are better (for me).


It is especially helpful when new in some framework where you aim to follow best practices so others can follow and you don't end up reinventing.




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