I feel like I have had just as much luck with LLMs writing Rust as I have had with Java, Kotlin, and Swift. Which is better than C++ and worse than Python. I think that mostly comes down to the relative abundance of training data for these types of codebases.

But that is all independent of how the LLMs are used, especially in an agentic coding environment. Strong/static typed languages with good compiler messages have a very fast feedback loop via parsing and typechecking, and agentic coding systems that are properly guided (with rulesets like Claude.md files) can iterate much quicker because of it.

I find that even with relatively obscure languages (like OCaml and Scala), the time and effort it takes to get good outcomes is dramatically reduced, albeit with a higher cost due to the fact that they don't usually get it right on the first try.