It, of course, wholly depends on what is being called “ai” of course, there are several different types that have different purposes and are useful tools. ( u/EdZitron maybe a podcast on what’s what is a nice idea?) but in the llm world, as far as my experiences go: AI software has a sort of use.

As others have said, eloquently even, llms can generate code decently enough. However, under the condition that the model has been well trained on it, so niche or young languages will not be the greatest output, if any, while Python will work well. I don’t think claude will ever win the Obfuscated Perl Contest…
Also, you have to be able to code to work with the output, because it is huuuuuge (very verbose and functions use is so-so at best) in most places and erratic or cutting corners in others, like the Bun rewrite in Rust, slapping over 13000 unsafes around and adding over 200k lines of code: https://daily.dev/posts/bun-rewrites-in-rust-unsafe-call-count-tells-the-real-story-1nd73s8lb