Can LLMs not write Zig code ? I'm not really understanding your explanation for why we can write other languages with LLM but not Zig here.
Rust trades the low-level clarity for compiler-enforced safety. If you're not a code artisan or don't care about being one, then please use Rust.
Not really seeing the connection here. What do you mean by code artisan? Are you trying to gatekeep Zig because you think Zig is too difficult for LLMs?
You asked if there was "tangible benefit to end user or developer using ai assisted development". My answer is no, it can be done but has no benefits for this use case. Use Rust here, because its compiler acts as an AI safety net.
Being a code artisan is not gatekeeping. It means if you're used to being close to the metal and sometimes know better than the compiler, Zig is for you. If you're not, use Rust.
Nobody's writing Zig because they think they can beat the Rust compiler.
Comparisons to Rust usually stop at memory safety and overlook what no-hidden-control-flow buys you when it's applied consistently across the whole language.
The same mechanism that lets you control allocation (passing an allocator) extends to I/O. For instance, writing Zig, I know exactly when I'm handing control to the kernel and when I'm not. In the vast majority of languages, it's something you'd observe at runtime, whereas in Zig, it's simply the source code you compiled.
So the point of writing Zig over any other language isn't beating the compiler, it's understanding and controlling what your program does at any given moment.
With all due respect, that tickles my spidey senses. People claiming to know better than a compiler about low-level details of their code are most often either engaging in premature hyper-optimisation, or suffer a specific kind of greybeard hubris IMHO
The idea that humans can't solve a specific problem more efficiently than a generalised algorithm that has to work for all code ever written in the language is a lie that JS script kiddies tell themselves to justify remaining ignorant without feeling bad about it.
Sometimes, but measure the number of people like that against the massive number of people who blow their whole leg off by trying to second-guess the compiler. If I had a nickel for every “performance critical” (which it never is) weird bullshit thing I’ve seen people do to “defeat” (really: totally misunderstand) a compiler behavior, which instead resulted in severe bugs, I’d have a lot of nickels.
The overlap of situations where compiler-second-guessing truly being necessary and the programmers present are capable enough to implement it is narrow enough that I’m fine with most languages’ escape hatches being similarly narrow.
I mean, using Rust or Zig rather than typescript, go, Java or C# is often a premature optimization, depending on use case. Plenty of games where majority of code is C# or unrealscript. Most people I talk to are surprised that Java has monomorphisation at runtime.
Oh, humans can definitely do that, in some capacity, if they're attentive, slept enough, aren't hungry, or in emotional distress, for a limited amount of time.
A generalised algorithm can do this consistently, billions of times, which happens to be the amount of problems involved in building an application.
Which is why we don't write entire programs in raw assembly, but that doesn't mean it's actually difficult to do better than a compiler. You focus your efforts on where benchmarking and profiling tell you your bottlenecks are in your hot paths. If you actually engage in this in a regular basis, you will recognise that despite the myth-building and fear around writing low-level code, compilers do "stupid" inefficient stuff all the time, and it's not hard to do better than them with the specific context of your project in mind.
This reads as rather dismissive and not so humble. Compilers generating suboptimal and sometimes broken code very slowly is the norm, not the exception. Whether or not it's worth worrying about is indeed a development tradeoff but not one that should be so casually dismissed.
Being a code artisan is not gatekeeping. It means if you're used to being close to the metal and often know better than the compiler, Zig is for you. If you're not, use Rust.
You are saying that if you are not a code artisan (who by definition can't use LLM) likeyou then they should not use Zig. Honestly, I don't care. I'm not a code artisan, if Zig can help me ship faster and better with LLMs, my job is done and that's what I get paid for.
Codex CLI taking over 15 minutes to recompile on my fairly high-end machine. Zig's incremental compilation optimizations are amazing, giving near-instant recompiles measured in ms instead of minutes.
So there is a benefit here mentioned by the non-arisans which is what I wanted to know but you wouldn't know if you don't use ai assisted delivery.
Comments
Can LLMs not write Zig code ? I'm not really understanding your explanation for why we can write other languages with LLM but not Zig here.
Not really seeing the connection here. What do you mean by code artisan? Are you trying to gatekeep Zig because you think Zig is too difficult for LLMs?
You asked if there was "tangible benefit to end user or developer using ai assisted development". My answer is no, it can be done but has no benefits for this use case. Use Rust here, because its compiler acts as an AI safety net.
Being a code artisan is not gatekeeping. It means if you're used to being close to the metal and sometimes know better than the compiler, Zig is for you. If you're not, use Rust.
Nobody's writing Zig because they think they can beat the Rust compiler.
Comparisons to Rust usually stop at memory safety and overlook what no-hidden-control-flow buys you when it's applied consistently across the whole language.
The same mechanism that lets you control allocation (passing an allocator) extends to I/O. For instance, writing Zig, I know exactly when I'm handing control to the kernel and when I'm not. In the vast majority of languages, it's something you'd observe at runtime, whereas in Zig, it's simply the source code you compiled.
So the point of writing Zig over any other language isn't beating the compiler, it's understanding and controlling what your program does at any given moment.
With all due respect, that tickles my spidey senses. People claiming to know better than a compiler about low-level details of their code are most often either engaging in premature hyper-optimisation, or suffer a specific kind of greybeard hubris IMHO
The idea that humans can't solve a specific problem more efficiently than a generalised algorithm that has to work for all code ever written in the language is a lie that JS script kiddies tell themselves to justify remaining ignorant without feeling bad about it.
Sometimes, but measure the number of people like that against the massive number of people who blow their whole leg off by trying to second-guess the compiler. If I had a nickel for every “performance critical” (which it never is) weird bullshit thing I’ve seen people do to “defeat” (really: totally misunderstand) a compiler behavior, which instead resulted in severe bugs, I’d have a lot of nickels.
The overlap of situations where compiler-second-guessing truly being necessary and the programmers present are capable enough to implement it is narrow enough that I’m fine with most languages’ escape hatches being similarly narrow.
I mean, using Rust or Zig rather than typescript, go, Java or C# is often a premature optimization, depending on use case. Plenty of games where majority of code is C# or unrealscript. Most people I talk to are surprised that Java has monomorphisation at runtime.
Of course I’d rather be writing the engine. =)
Oh, humans can definitely do that, in some capacity, if they're attentive, slept enough, aren't hungry, or in emotional distress, for a limited amount of time.
A generalised algorithm can do this consistently, billions of times, which happens to be the amount of problems involved in building an application.
Which is why we don't write entire programs in raw assembly, but that doesn't mean it's actually difficult to do better than a compiler. You focus your efforts on where benchmarking and profiling tell you your bottlenecks are in your hot paths. If you actually engage in this in a regular basis, you will recognise that despite the myth-building and fear around writing low-level code, compilers do "stupid" inefficient stuff all the time, and it's not hard to do better than them with the specific context of your project in mind.
This reads as rather dismissive and not so humble. Compilers generating suboptimal and sometimes broken code very slowly is the norm, not the exception. Whether or not it's worth worrying about is indeed a development tradeoff but not one that should be so casually dismissed.
You are saying that if you are not a code artisan (who by definition can't use LLM) likeyou then they should not use Zig. Honestly, I don't care. I'm not a code artisan, if Zig can help me ship faster and better with LLMs, my job is done and that's what I get paid for.
So there is a benefit here mentioned by the non-arisans which is what I wanted to know but you wouldn't know if you don't use ai assisted delivery.