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I think you're missing the point. I don't like copilot/chat gpt for important stuff because if I have to double check their solutions I barely gained any time. Especially since it's correct more often than not because it will make me complacent over enough time (the professors who were patient enough to actually explain why we shouldn't be using Wikipedia as a primary source also used the same point which I thought made a lot of sense).
You're going to need to fact check any code you get online anyways, why not have it hyper specific to your current use case? If you're a good developer, review does not take nearly as long as manual implementation
I very rarely grab code online because I work in videogames and it's very hard to find good code for the things I struggle with since all the publicly available stuff is for hobbyists and thus usually very basic/unoptimized as hell
Most of the time the stuff I can't figure out myself isn't even mentioned anywhere on hobbyist forums because it's not needed for these applications (for a recent example: assets management. For hobby projects you can usually get away with hard references to all of your assets, so it's not even a thing)
If what you want is difficult to find publicly, then that also means an LLM is going to be weak in that area as well
What you want is a "general AI" LLM, something capable of stringing together a solution based on past somewhat related solutions. We're not here yet, so basically you're asking it to do something beyond what it is capable of and it's trying its best anyways
Alternatively, you could try fine tuning your own LLM, if you have access to some sort of large repository with non-public solutions or something
So you're rewriting the wheel every time? I also have worked in games and we definitely utilized public resources whenever possible to save time/money. Asset management in particular has a lot of resources unless you're talking about truly huge scale things like MMO scale streaming stuff.