In my experience they do. I use LLMs a lot, and one of the most common failure modes I see is that they implement stuff, but fail to wire it up end to end, or don't consider the broader context. The features of Clojure I outline in the post directly addressed the failure modes I've experienced using most other languages.
In fact, I've actually tried using Python and Js with LLMs initially because my logic was that these languages are more widely used and there's more training data. It's been a miserable experience for me, and I'm having a much better time with Clojure. I'm sharing my own experience here having actually used both types of languages, and the benefits I see in my workflow.
The fact that you're unable to learn Clojure is very much a you problem. I worked at a Clojure shop a while back where we hired university students regularly. They were able to pick up Clojure within a week or two and write useful code with it. The fact that somebody with over 14 years experience can't learn this language is absolutely surreal.
I never said I can’t learn it. I said I haven’t.
My point is for someone who hasn’t learned the language, Clojure is one of the most inscrutable languages you could choose to use with an agent, and I doubt people who don’t know it will put the time in at this point. I’d expect exactly the same is true of Haskell. I know it well, so sure I can use it with AI, but I wouldn’t expect many will learn it now.