> I wouldn't call it entirely trivial.
It just doesn't represent a realistic codebase. It is significantly smaller than a lot of college projects.
The current software system I'm working on now is ~2 million lines of code split across a dozen services.
AI has been pretty good for search across the codebases and absolutely hopeless for code gen.
LLMs just aren't that good yet for writing code on a decent sized system.
I mean, I agree with that. That certainly matches my experience. I just don't think the deciding factor is "simpleness" so much as an inability to handle large scale at all.
My point is more that LLMs can handle (some) projects that are useful. It's not just oneliners and hello worlds. There's a region in between "one-page demos" and "medium-sized codebases and up" where useful work can already happen.