I have found exactly the opposite to be true: as always, people think they can write safe concurrent code without the machine checking them and end up getting it completely wrong in lots of subtle cases. Except the problem is now much worse because you're not even writing the code, or in many cases, reading it. I prefer a language with a type system that saves me from the review burden of closely checking (and pretty much always finding issues in) concurrency invariants. And even tells me a bit more beyond that about what the code is intended to do.
That's a pile of bollocks, pardon my French. Source/proof?
And to the contrary:
I've been working on a TS codebase that calls into C++ native/wasm-compiled code for six months now. The code is mostly LLM written.
Over these last six months we had four use-after-free and two other ownership-related bugs in LLM-generated TS code.
Whereas we had zero issues of any such kind with LLM-generated Rust code that sits in another two native/wasm-compiled metacrates we use.
LLMs are not much better at ownership tracking than humans.
Especially if resource acquisition and release are far apart in code and/or somehow nested/stacked/non-straightforward.
If there is a problem with global lifetimes then the problem is certainly the person driving (or not) the LLM. Global lifetimes? FFS. Rust is hard because writing services that don’t have bugs is hard.
LLMs are not currently able to vibe a sophisticated application or service in rust. If it tells you it can do it in typescript or python, the it most likely certainly has not and you will have a wonderful time in production. Rust will burst that bubble.
And as other commenters here have said, Rust's main issue for LLMs is infectious lifetime propagation, where the borrow checker knows you violated a lifetime constraint but doesn't tell you how to actually solve it, so LLMs get error messages like:
borrowed value does not live long enough
cannot borrow `x` as mutable because it is also borrowed as immutable
lifetime may not live long enough
If the premise of the article is true, and I think that it is, that's quite the downside for AI coding with go. The premise being that reviewing now plays much more of a role than writing.
Personally, I'd rather review, say, a ruby oneliner that extracts specific row values from a csv file with filter_map, compared to 40 or so lines of go, many of which I'd have to check individually for possible mistakes.
IIUC Fuchsia uses Dart mostly for UI stuff and Go has never really tried to be competitive there? I don't see much of a reason to suppose this is a serious bottleneck to Fuchsia adoption, as opposed to the obvious reasons why it's hard to displace an existing OS with a huge install base.
Citation absolutely needed.
I think boilerplate & verbosity is an even bigger drawback with LLMs than human coding since context rot and "Lost in the Middle" phenomenon has so much effect on code quality
It seems that LLMs benefit from semantic and syntactical density
I have some very heavy criticism for Zig technically, because their whole thing about "no hidden control flow" becomes "shove all the hidden control flow into a second hard to debug runtime that runs at compile time", and manual allocation for everything is incredibly tedious and hard to keep track of in production code. I mean, C++ wasn't ALL wrong, there was a reason that templates exist in the first place, and having the entire generics model be just comptime isn't really a decision I agree with. The way I see it, Zig would probably find a niche as a language that configs C/C++ codebase at compile time instead of the C replacement they want it to be.
There are two more languages I have in the Oct repo, SDSL-V for SPIR-V shader/compute kernel authoring and Concept/Vulkan because the 20k line C Vulkan Prometheus runtime for GPU compute that we built is getting kind of unmaintainable even by AI that making up a new programming language to strangler fig refactor it is honestly the least bad option.
Each have their trade-offs, both can support native compiled application code. Some architectures are easier to review and code in golang, but others go much better with Javas richer ecosystem and better composability.