[Tohsig]

I suspect it's too early to make predictions about which languages are going to become dominant moving forward, but in my experience robust type systems do seem to improve the accuracy of responses that I get from the various LLMs. I've been writing JS/TS for over a little over a decade now and am regularly impressed with what the best of the current crop of models can turn out. I'm not just seeing decent TS code but also decent explanations as to why the model went one direction vs. another. I'm sure that's at least partially thanks to the sheer quantity of JS/TS code that's out there.

I contrast that with the responses I get back from the LLMs for Elixir. I'm currently learning Elixir/Phoenix/Ash for a personal project. Absolutely loving that environment, but I'm seeing a much lower level of accuracy from the models. Basic questions about Elixir syntax and best practices are usually fine, but with anything more complex the responses are often more of a hinderance.

Phoenix, Ash, and Elixir itself are so well documented that the inaccurate LLM responses aren't slowing me down overall, but I'm very curious about whether the underlying issue has more to do with Elixir itself or just the amount of sample code that's in the wild.

[papichulo2023]

I didnt like Go verbosity before. Now I enjoy it way more since the llm generates it.

[machiaweliczny]

Speed and typing will win. TS and Go will be dominant in LLM assisted code.

[borromakot]

Have you used `usage_rules` yet?