[perarneng]

Been coding in lots of languages with agentic coding and it performs much better with typed languages since it basically corrects the agent if it does any hallucination errors. Especially during major refactorings. I have been dealing with large untyped python code bases and it sucks with AI since if it's not covered with tests it's such a teadious job to make sure it did not break anything. The stronger the type system the better it is. Also AI model is trained on code and the more popular the language is the better the AI will be at it. ClojureScript while nice is not a major language so I would assume AI would perform worse in it compared to javascript.

But in the end. Choose typed languages or dynamic languages with type hints if you are going for the AI route.

[everforward]

I’ve been using LLMs (the new Deepseek) on Clojure and it works well. The only major pain point is that it sucks at getting the last paren on. There are hooks that will fix that automatically, but I’ve been lazy.

I haven’t tried on anything completely blank, though. My projects have been sort of skeletons where I’m figuring out what I want it to look like, and it’s pretty good at imitating the patterns. Like I write functions to query a particular SQL table, and it can pick up how to use the SQL generation library from that.

It works pretty well. I also have it generating good docstrings though, which might help. Every function gets a “what does it do, why would you use it, what does it expect as args, what does it return” comment. If the function expects a map, the comments specify the keys it needs and so on.

You can also get typing (sort of) by using Malli or similar which does both runtime checking of schemas and serves as documentation of what the expected shape of the arg is. The LLM has been pretty good at falling back to looking at the schema if tests fail because of validation issues.

[jolt42]

The logical conclusion is to use "a Haskell" typed language that will ensure every path is considered to guard against AI mistakes. OTOH, clojure repl, expressibility, immutability, and data-driven nature has its own advantages. Tacking on malli (runtime type checking) or spec (types/contracts) helps LLMs avoid type problems altogether or at least confront problems during testing.

[giancarlostoro]

Maybe that should be part of LLM benchmarking. If an LLM can handle untyped languages in the context window flawlessly, it would be a worthwhile accomplishment. I think For JS WebStorm loads a TS file for browser fundamentals and it helps drastically with this problem as well, sadly theres no similar concept for Python. Would be neat if someone implemented “Python Header Files” or something so you can provide type hints for these sort of projects.

[rootnod3]

So, best to just use <insert most popular language> for maximum results? And have the LLM just rehash the majority of what that language's code looks like? Because a lot of say Javascript code I have seen floating around on Github has been absolutely atrocious. That doesn't really give a good basis for LLMs.

I agree that stronger type systems might help. But a good swatch of unit tests should still accompany that code.

The Clojure code I have worked with usually had a damn good array of unit tests as its more of the "clojure" culture to do so.

[iLemming]

Equating Clojure and Python just because they both dynamically typed is a very shallow comparison. The actual, practical experience is like a day and night. We have projects in Python, Clojure, Java, C# and Golang. Clojure is by far the least problematic to deal with. Even though they have many ugly and non-idiomatic, very old parts.

LLMs, matter of fact do work beautifully with Clojure, specifically because of the "true" REPL. Python doesn't have a comparable REPL - at best, Python's is an interactive shell.

When you give an LLM a closed loop system where it can evaluate code in a live REPL and immediately observe the results, it stops guessing and starts reasoning empirically.

With Clojurescript, you get a REPL connected to a browser - LLM can navigate any element, click buttons, have the entire page context to inspect and alter - all that without any compilation, without even saving and reloading any code anywhere. It seems you have zero idea how amazingly liberating the actual experience that is. And btw, it's the most token efficient language¹.

> ClojureScript is not a major language

a) There's plenty of Clojure code in the wild now and it's been there even before we started training LLMs.

b) The language is very small syntactically - it gives LLMs fewer ways to fantasize some weird constructs.

c) More popular languages have dozens of ways of doing similar things. Clojure's community is smaller and organized, there's less fragmentation - they don't have twenty different routing libraries, each with their own embedded DSL. You'd ask an LLM to get routing done in Python - every time it will give you a different answer, in Clojure - it would just pick something solid, community-approved, battle-tested and unambiguous.

I really wish people speculating about practical experiences in different languages had really used them before dumping their conclusions on HN. Because theory, papers and books are one thing - the practical, years-long venture into a language stack might be completely different experience. You can't be just like: "Haskell is great because it's pure and lazy and has types" and "Clojure is lame because it's dynamically typed" - the field experience would vary for a bunch of different reasons.

Every language has to be evaluated holistically and specifically for each situation. Just because we call them "general-purpose PLs", we shouldn't be generalizing them all the time.

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¹ https://martinalderson.com/posts/which-programming-languages...