The issue is, though ChatGPT and the likes definitely speed up development in one respect, they create a bottleneck in various other places.. “vibe coders” have essentially no idea what the code their LLM cranked out even does and are unaware the code they generated is often riddled with bugs yet still looks plausible. Not only that, they are often trying to develop things, that for the most part you could have just googled. Of course an LlM can write your CRUD app to a pint but then try to add a novel aspect and you see it pretending to reason and make progress when in reality you’re just spinning your wheels. I do research at MIT, my day to day involves developing systems/solutions/technologies that did not previously exist. When the bulk of your work lies in novel things such as R&D the limits of LLMs become very apparent and they offer no further help.

Every single day friends of mine ( many who aren’t programmers just wanna be CEOs of the next trend) tell me about these “project” of theirs. At the beginning it amazed them. They got a GUI up displaying some numbers up in Python with just a few queries! So cool! To them this probably looks like black magic. As the project grows to anything beyond the trivial, they cannot push it further along. They can’t look at the code themselves to fix the minor issue any human would immediately see because they have no clue/haven’t read the bulk of generated code (often trash quality riddled with vulnerabilities)… They often resort to trying a million different tools and platforms, spinning in circles, praying another model can fix their abomination… You get the idea. Sorry for poor grammar typing on small phone on bus.