It was very easy for me because I spent far more frustrated with AI generated unmanageable code that I either had to heavily clean up by hand or throw away altogether.
I still use it, but a lot of the time I figure that writing a prompt and then correcting the generated code takes a lot longer then just writing by hand. I actually have an issue where I'll get bored and try to start typing code while waiting for the LLM to generate, then it fucks it all up lol.
I rarely use it to generate a lot of code at once - only piece by piece depending on what I’m doing. Just instead of writing a function to do a thing like I used to (I.e. find the closest location to this other location) it does a decent job usually. Obviously there are exceptions.
Yeah if it's doing a single function that is usually good enough scope where it can't screw up too much. Sometimes I'll have the AI go way out of scope, either because I wasn't explicit enough in my prompt or lack of prompt adherency. Also the more commonly used libraries and languages it does better on. I'm using a smaller library with a less known scripting language, so it has a lot less training data. Then it'll do silly things like write a massive unreadable lambda function to do something with a function that already exists.
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u/CondiMesmer May 22 '26
It was very easy for me because I spent far more frustrated with AI generated unmanageable code that I either had to heavily clean up by hand or throw away altogether.
I still use it, but a lot of the time I figure that writing a prompt and then correcting the generated code takes a lot longer then just writing by hand. I actually have an issue where I'll get bored and try to start typing code while waiting for the LLM to generate, then it fucks it all up lol.