zlacker

>>tablet+(OP)
One thing that I find truly amazing is just the simple fact that you can now be fuzzy with the input you give a computer, and get something meaningful in return. Like, as someone who grew up learning to code in the 90s it always seemed like science fiction that we'd get to a point where you could give a computer some vague human level instructions and get it more or less do what you want.

>>gdubs+Z
Though I haven’t embraced LLM codegen (except for non-functional filler/test data), the fuzziness is why I like to use them as talking documentation. It makes for a lot less of fumbling around in the dark trying to figure out the magic combination of search keywords to surface the information needed, which can save a lot of time in aggregate.

>>cosmic+S1
Honestly LLMs are a great canary if your documentation / language / whatever is 'good' at all.

I wish I would have kept it around but had ran into an issue where the LLM wasn't giving a great answer. Look at the documentation, and yea, made no sense. And all the forum stuff about it was people throwing out random guessing on how it should actually work.

If you're a company that makes something even moderately popular and LLMs are producing really bad answers there is one of two things happening.

1. Your a consulting company that makes their money by selling confused users solutions to your crappy product 2. Your documentation is confusing crap.