I am writing an article about what makes a good language for AI to program in and why, and also trying to make a case for Elm as being a strong candidate here. There is also definitely a big overlap between what is good for humans to program in with what is good for AI to program in - I think for th…

One concern I have regarding AI’s ability to work with Elm code (although this is conjectural rather than empirical) is that Elm tends to have large files (see the life of a file ), and that will pollute an AI’s context window if it tries to read the whole thing. It may be possible to make it better …

Elixir Semantics - Strong Functional, immutable data, pattern matching, and BEAM’s process model give it simple, well-defined, deterministic semantics with no UB in user code. Static guarantees - Weak Dynamically typed with optional typespecs + Dialyzer; useful for documentation and some chec…

A minor note. The Elixir LSP is expert , the others are considered deprecated. My employer actually employs someone to work on expert! They’ve put a TON of work into the LSP and it’s really great considering how much they’ve done in the past year or 2. However, the LSP does have limited APIs. It was …

[image] dta: .. this is conjectural rather than empirical .. Yes, this study is also entirely conjectural. Interesting though that @wolfadex linked article on Elixir is taking the empirical approach and measuring some kind of benchmarks against AI models and languages.

Rust is a strong contender too, and probably the best of the major languages. Rust Semantics - Strong Well-specified, mostly deterministic semantics; the safe subset rules out undefined behavior, and the boundary with unsafe is explicit. Static guarantees - Strong Rich static types with owne…

Yes, if you want to stay honest here are 2 drawbacks of the elm language: file sizes grow fast, need a very principled approach to systematically extract what can into other modules. the elm LSP is extremely fragile, so not a good tool to drive agent skills. But on the plus side, elm-review + com…

I agree on the analysis and have found Claude capable of working with a large and complex codebase (Liikennematto), especially with recent models. The main issue is the lack of app/algorithm/library examples in training data. LLMs are not spitting out Haskell as Elm code anymore, and can use the co…

[image] mattpiz: file sizes grow fast, need a very principled approach to systematically extract what can into other modules. I once deliberately wrote an Elm module that grew to at least 6K LOC before refactoring it into smaller modules. It was a good exercise for me to learn from, and it di…

[image] klemola: The main issue is the lack of app/algorithm/library examples in training data. Recenly I used an Elm graph package for creating then walking/searching through graphs. Turns out the package was not using tail recursive algorithms, so blew up the stack on real-world problems. I…

Is Elm a great language for AI to code in?

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wolfadex March 5, 2026, 8:43pm 2

Possibly relevant thing that was shared at work a month ago Why Elixir is the best language for AI - Dashbit Blog.

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Is Elm a great language for AI to code in?

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