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The path I see is I just ask for the functionality and AI builds it from scratch. No need for other people's software/libraries. I get it's not 100% there today but I do have that experience today with quite a few things.

I had one project, removed 14 dependencies just by asking the AI, "what would it take to remove dependency X". If it gives me basically "not too much work" then I tell it to remove it. Another I say "no libraries" and a few minutes later I had a mini game running in a mini native game engine, no libraries.

Like many I've also asked for small programs for various things. Last week I needed an image that a 4 months ago I would have made in photoshop. I just asked the AI "make me an image generator that given X inputs generates Y style" and 5 minutes later I had the generator in a webpage. I made a couple of minor tweaks that were faster by hand than prompting and had the image I wanted.



have you considered the token inefficiency of what you're doing and that you're burning electricity to re-invent the wheel? I'm being a bit of a PITA here but if everyone does what you suggest the real world implications could be staggering.

Especially if we aren't committing code back into public places for LLMs to ingest and use.

I think from an efficiency standpoint it's almost always better to use something already battle tested and used in the open than rolling your own; regardless of leveraging LLMs or not.


That goes against "business model" of AI companies




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