I suspect that Rust will start taking over as a dominant LLM output language.
I also suspect that in short order we'll have entirely new languages that are engineered to be ideal languages for LLMs to generate. Perhaps even safer than Rust.
The models are shockingly good at writing Rust. You don't even need to have familiarity with Rust to start using it now. You'll learn the language as you interact with the LLMs.
Decades before Rust and long before the simplified language that was C, there were safe programming languages, where all invalid operations, numeric overflows or out-of-bounds accesses generated exceptions and where use-after-free was impossible, because either garbage collectors or reference counts were used.
Rust is much safer than C compiled with its bad default compilation options, but it did not bring much in comparison with other languages.
Even in C++, with appropriate rules, restrictions and discipline you can write programs that are guaranteed to be at least as safe as any Rust program, but unfortunately very few use C++ in this way, i.e. by strictly avoiding the features that are obsolete or unsafe.
And no, C++ just doesn't make the same things easy or clean.
And no, "discipline and appropriate rules" were never enough.
The biggest innovation of Rust is bringing some of the good ideas from functional programming to low level programming. I'd also say that partially exposing data flow analysis to a proframmer is new.
Rust package management is quite good, and also not by any means an invention.
I am still not a fan of all the ugly macro programming systems and verbose syntax in the language.
The language I really want is somewhere inbetween those two languages.
The broader ML-like type system in Rust is not novel, but the integration of the borrow checker -- and its move semantics more broadly -- with it in its form honestly is an innovation. And one I'd have a hard time living without at this point.
If by discipline, you mean running something akin to the borrow checker in your head, that's essentially tautologically true. The issue with that is that it's mentally draining and/or you will still make mistakes sometimes.
For maximum safety, beyond what Rust offers by default, in C++ it is easy to replace the built-in integer types with custom integer types, which check for overflows and allow only the correct type conversions. It is also easy to define distinct types for various kinds of physical quantities, for increased safety.
You do not need to run anything in your head. With appropriate type definitions, a C++ compiler will do anything that is required.
The problem is that because of the requirement for backwards compatibility, C++ is a huge junk collection. I think that more than half of C++ consists of obsolete features, which should never be used in new programs, and this is a serious difficulty for newbies. There are various C++ style guides, but in my opinion even most of those are not very inspired.
Despite of its defects, C++ still has the advantage of extreme customizability. It is easy to write programs that appear to be written in a language that has no resemblance with C++ (inclusively by having different keywords and what appears to be a different syntax), but nonetheless they are valid C++ programs.
Such a customized C++ variant can mimic any safer language.
The work to try to address this for C++ 29, half-finished and untried as it is - is extremely restrictive, you'd likely hate it, and that's just to solve this, the relatively easy problem.
Thing is, Rust wasn't content just to solve that easy problem. (Safe) Rust also doesn't have data races. The C++ standard doesn't say very much about data races, can't help you ensure they don't happen - it just explains that if they do that's Undefined Behaviour, game over.
This completely misses the point.
That is really not very different of rules enforced by the Rust compiler.
For someone who does a fresh start, using a Rust compiler may ensure safer programs out of the box, but that does not mean that the same results cannot be achieved by alternative means when using other languages, when the use of those languages makes sense for other reasons, and it is worthwhile to invest resources in making appropriate libraries and tooling.
In general, I recommend against the use of C++ in new projects, but I see much too often claims about things that are supposedly difficult or impossible to do in C++, which are just false.
I doubt it. I think most people will become more entrenched in their favored ecosystem.
> I also suspect that in short order we'll have entirely new languages that are engineered to be ideal languages for LLMs to generate.
This is already happening. A couple months ago I came across this language that is engineered for AI and human consumption https://www.moonbitlang.com/
A waste.
This code will be high-defect and slow.
All of your LLM outputs should be Rust.
Of all the complaints about rust, this strikes me as one of weirdest. How much code do you actually write for architectures outside the Tier 3 support list?
However I did write ADA and C for those.
Ok, but recently? I too wrote code for obscure platforms once upon a time, but not in, say, the last 15 years.
Now that PCs, game consoles, and mobile devices are basically all either amd64 or ARM, there's just not such a long tail of weird platforms to develop for.
(the embedded world I will grant you, still lots of bespoke toolchains running around in that space)
We get it. You like Rust. It's not a panacea.