alt Hacker NewsI strongly agree with the premise of this article, which is why I am surprised that the author moved away from Haskell to Python.
For some time now it’s felt clear (or at least extremely) compelling that agents need fast compile times in order to be effective, especially when you’re working in parallel. But the other thing that has felt just as obvious is that agents need strong type systems and narrow guardrails in order to constrain their outputs. These two things felt clear enough to me that, like the author, I wanted to choose a language ecosystem that maximized them. There _are_ languages that both have expressive type systems _and_ fast compile times. I wonder if the author investigated any of them, before deciding that no compilation time at all was acceptable.
In my case I landed in OCaml. I think there are other options in the space—Go if you want less typing but faster compiles; Rust if you want more types but slower compiles. My mostly vibes-based evaluation landed on OCaml, and I’ve been pretty happy with the results.
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I've gotten best results with LLMs generating Go, Java, and C# code as they have the best combination of strong type systems and fast or no compile times.
>agents need strong type systems and narrow guardrails
I read the second paragraph of linked article as saying close to the opposite of that, particularly,
"the model can often avoid the mistake before the compiler ever sees the code. And as the models get better, the relative value of catching every possible issue at compile time changes."
In other words, LLMs are much less likely than humans to make dumb, fat-finger mistakes, and, when they do, are able to catch and fix them more quickly, ergo the value of type checking has fallen.
Everything in the prior sentence is, obviously, highly debatable. But it felt like part of the premise.