[castedo]

Similar use cases of useful AI one-shot projects are: demos, proof-of-concept, prototype, exploratory tests, etc... I've AI-generated an HTML/javascript craplet to test how browser security would behave for certain JavaScript API calls. I just wanted to confirm how browser security would behave before I started to spend time hand-coding the non-AI quality software that I wanted to release.

And I say this as somebody who generally has a low opinion of AI generated code and rarely uses it. But it has its place.

[josephg]

I was listening to a podcast talking about this the other day. They encouraged non-programmers to use LLMs to make working demos of the features they wanted to have. A demo is a much more powerful communication tool than a written description. Speaking as an engineer, a working demo makes a way better spec to work off than 100 pages of words. Even if the code itself will be completely rewritten.

I think this is a wonderful use case for LLMs. Who knows if regular people will try it out. We've spent decades making people feel like software is some special techy thing that regular mortals should stay away from. LLMs make it easy for anyone to turn an idea into a prototype.