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Comment by fny | Hacker News Reader

I didn't realize just how bad LLMs are with unpopular languages until now:

"Elixir lists do not support index based access via the access syntax"

"Never use else if or elseif in Elixir, always use cond or case for multiple conditionals."

Interestingly I've found that Claude is very good at writing valid Ada, it just writes complete garbage that doesn't follow the specification at all. As an example I asked it to change the handling of command line arguments in a program so that duplicates would cause an error rather than being ignored. If I recall correctly it took 6 course corrections to get to what I asked for, but each time it wrote valid code that just didn't complete the task. One I remember was arbitrarily limiting the length of an argument to 4096 characters and then only accepting arguments that were exactly 4096 characters.

Here is the relevant change, it didn't have any sort of hidden complexity: https://github.com/Prunt3D/prunt/commit/b4d7f5e35be6017846b8...

I'm pretty convinced the only developers who think we're on the cusp of AGI code exclusively in Python or JavaScript.

GPT-5 is a dab hand at Rust

I was hearing that it was good with writing Ruby on Rails as the rails community is so structured already in where things go and sorta the Rails way of writing the code. Anyone have experience with this?

The problem is that there is a lot of bad python and typescript/javascript out there, and I similarly find my self having to define my coding style in context files in order to get decent results in newer code bases without a lot of examples to follow. And even then you need to say do it like @example.py all the time.

Maybe the future is fine-tuned models on specific coding styles?

I think those are cult followers which _leaders_ have no understanding of programming language in the first place. The Python/JS bias might be because of the training dataset ingested.

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