Partially Matching Zig Enums
matklad.github.io
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«inline else» is also very powerful tool to easily abstract away code with no runtime cost.
Nobody knows whether Rust and/or Zig themselves are the future of low-level programming, but I think it's likely that the future of low-level programming is that programmers who prefer one approach would use a Rust-like language, while those who prefer the other approach would use a Zig-like language. It will be intesting to see whether the preferences are evenly split, though, or one of them has a clear majority support.
The drift over time is predictable, compared to ten years ago Rust has fewer false positives, C++ has more false negatives.
You are correct to observe that there is no middle choice here, that's Rice's Theorem, non-trivial semantic correctness is Undecidable. But I would argue we already know what you're calling the "false positive" scenario is also not useful, we're just not at the point where people stop doing it anyway.
No, it doesn't. Zig is safer than C++ (and it's much simpler, which also has an effect on correctness).
Making up some binary distinction and then deciding that because C++ falls on the same side of it as Zig (except it doesn't, because Zig eliminates out-of-bounds access to the same degree as Rust, not C++) then what applies to one must apply to the other. There is simply no justification to make that equivalence.
> There is no middle choice here, that's Rice's Theorem, non-trivial semantic correctness is Undecidable.
That's nothing to do with Rice's theorem. Proving some properties with the type system isn't a general algorithm; it's a proof you have to work for in every program you write individually. There are languages (Idris, ATS) that allow you to prove any correctness property using the type system, with no false positives. It's a matter of the effort required, and there's nothing binary about that.
To get a sense of the theoretical effort (the practical effort is something to be measured empirically, over time) consider the set of all C programs and the effort it would take to rewrite an arbitrary selection of them in Rust (while maintaining similar performance and footprint characteristics). I believe the effort is larger than doing the same to translate a JS program to a Haskell program.
I explained in some detail exactly why this equivalence exists. I actually have a small hope that this time there are enough people who think it's a bad idea that we don't have to watch this play out for decades before the realisation as we did with C and C++.
Yes it's exactly Rice's Theorem, it's that simple and that drastic. You can choose what to do when you're not sure, but you can't choose (no matter how much effort you imagine applying) to always be sure†, that Undecidability is what Henry Rice proved. The languages you mention choose to treat "not sure" the same as "nope", like Rust does, you apparently prefer languages like Zig or C++ which instead treat "not sure" as "it's fine". I have explained why that's a terrible idea already.
The underlying fault, which is why I'm confident this reproduces, is in humans. To err is human. We are going to make mistakes and under the Rust model we will curse, perhaps blame the compiler, or the machine, and fix our mistake. In C++ or Zig our mistake compiles just fine and now the software is worse.
† For general purpose languages. One clever trick here is that you can just not be a general purpose language. Trivial semantic properties are easily decided, so if your language can make the desired properties trivial then there's no checking and Rice's Theorem doesn't apply. The easy example is, if my language has no looping type features, no recursive calls, nothing like that, all its programs trivially halt - a property we obviously can't decidably check in a general purpose language.
No, you assumed that Zig and C++ are equivalent and concluded that they'll follow a similar trajectory. It's your premise that's unjustified.
A problem you'd have to contend with is that Rust is much more similar to C++ than Zig in multiple respects, which may matter more or less than the level of safety when predicting the language trajectory.
> But you can't choose (no matter how much effort you imagine applying) to always be sure
That is not Rice's theorem. You can certainly choose to prove every program correct. What you cannot do is have a general mechanism that would prove all programs in a certain language correct.
> One clever trick here is that you can just not be a general purpose language.
That's not so much a clever trick as the core of all simple (i.e. non-dependent) type systems. Type-safety in those languages then trivially implies some property, which is an inductive invariant (or composable invariant) that's stronger than some desired property. E.g. in Rust, "borrow/lifetime-safety" is stronger than UAF-safety.
However, because an effort to prove any property must exist, we can find it for some language that trivially offers it by looking at the cost of translating a correct program in some other language that doesn't guarantee the property to one that does. The reason why it's more of a theoretical point than a practical one is because it could be reasonably argued that writing a memory-safety program in C is harder than doing it in Rust in the first place, but either way, there's some effort there that isn't there when writing the program in, say, Java.
They did not say Zig and C++ are equivalent
Some time back I checked and I had written exactly one unsafe block, and so I inspected it again and I realised two things:
1. It was no longer necessary, Rust could now just do this safely. I rewrote it in safe Rust.
2. It was technically Undefined Behaviour, predictably given the chance to shoot myself in the foot that's exactly what I had done. Like a lot of C and C++ it likely wouldn't in fact blow my foot off in any real scenario, but who knows? Not me, that's for sure.
And every single item on his list of course requires the thing C++ doesn't have, memory safety. You can't write software which has any non-trivial properties when it has unconstrained Undefined Behaviour. It really shouldn't be this hard but I have reluctantly accepted that this "argument" is not made in good faith.
I would also say that unsafe causes a very different human reaction.
When like Zig, C or C++ everything is potentially unsafe then you can't scrutinize everything.
When submitting a PR in Rust containing unsafe code everyone wants to understand what happens because it is both rare, and everyone are cautious about the dangers posed. The first question on everyone's mind always is: Does this need unsafe?
It is not true that in Zig "everything is potentially unsafe". Zig offers bounds safety, which, BTW, eliminates the most dangerous kind of memory unsafety (https://cwe.mitre.org/top25/archive/2024/2024_cwe_top25.html).
You've said it's not everything, so, what's excluded? What can I rule out?
The trick Rust is doing here that Zig is not is that Rust's safe contracts are always what we would call wide contracts. As a safe Rust programmer it's never your fault because you were "holding it wrong". For example If you insist on sorting a Vec<Foozle> even though Foozles all claim they're greater even than themselves, Rust doesn't say (as C and C++ do) too bad, you broke it so now all bets are off, sorting won't be useful in Rust because Foozles don't have a coherent ordering, but your program is fine. In fact today it's quite fast to uselessly "sort" that container.
Zig has numerous narrow contracts, which means when you write Zig touching any of those contracts it is your responsibility as a Zig programmer to ensure all their requirements were upheld, and when you in turn create code or types you will likely find you add yet further narrowness - so you can be and in practice often are, "holding it wrong".
It really can't be.
Memory safety is problematic because it's a common cause of some dangerous bugs. Of the two main kinds of memory safety, Rust generally eliminates both, leaving only unsafe Rust and foreign code as possible sites of memory unsafety. Zig, on the other hand, generally eliminates only the more dangerous kind, leaving only unsafe Zig and foreign code as possible sites of that.
Mind you, the vast majority of horrific, catastrophic bugs are not due to UAF. So if we get a horrific, catastrophic bug in Rust, we can eliminate UAF as a cause leaving us only with most possible causes, just as in most programming languages used to write most of the software in the world already.
This point of ha-ha, you also got a segfault while I only got all other bugs doesn't make sense from a software correctness perspective.
There is no binary line between Rust and Zig that makes Zig's superior safety to C that couldn't also be put between Rust and languages that make far stronger guarantees, putting Rust in the same bucket as C. If you think that the argument, "Rust, just like C, is unable to guarantee the vast majority of correctness properties that ATS can, therefore it is equally useless" is silly, then so is trying to put Zig and C in the same bucket.
If you believe that eliminating certain classes of bugs is important for correctness even when you don't eliminate most bugs, then I don't see how a language that eliminates the more dangerous class of the two that Rust eliminates is "just as useless" as a language that eliminates neither.
I have been programming in both C++ and Java for a very long time, and while I appreciate Java's safety, the main difference between the two languages for me hasn't been a different in correctness but in productivity. That productivity comes from Java's superior abstraction - I can make many different kinds of local changes without affecting other code at all, and that is not the case in a low-level language, be it C, C++, Zig, or Rust. I think it's good that Zig and Rust offer bounds ("spatial") safety. I also think it's good that Rust offers UAF ("temporal") safety, but I find the price of that too high for my liking.
Of course, my experience is not universal because I use C++ only for really low-level stuff (mostly when working on the HotSpot VM these days) where both Zig and Rust would have been used in their unsafe flavours anyway, because I'm more than happy to pay the increased memory footprint for higher productivity in other cases.
I just did it.
I guess one could claim that some feature is useful because it eliminates certain classes of bugs while another is useless because it eliminates certain classes of bugs (which happens to be the more impactful subset of the former class), it's just not a very compelling claim, especially the way you presented it, which is:
Something bad happens, say an attacker steals my data. Rust is useful because I can eliminate spatial and temporal safety as the cause, leaving only all others, while in Zig I can eliminate spatial unsafety as the cause (leaving all others), but that's just as useless as C, where I can eliminate neither spatial nor temporal unsafety as the cause.
I can see how it may be reasonable to argue that all are equally useless, but given that spatial unsafety is the largest subclass of unsafety that causes security vulnerabilities, I'm not convinced by the argument that eliminating it is completely useless while eliminating a somewhat larger class (i.e. adding a smaller marginal benefit than the first step) becomes very useful.
In (safe) Rust we categorically don't have type unsafety. Safe Rust function A doesn't have unsafety, and function B which calls it doesn't have unsafety, and function C which calls that doesn't either and so on forever. So in the exercise we talked about the answer is that the fault won't be anywhere in the safe Rust. But because we don't have this in "safe" Zig even though you say there's spatial safety, oops the lack of temporal safety means our apparently OK code might induce the spatial safety issues we thought couldn't exist.
It's OK, the C++ Convener is absolutely convinced of the same line of thinking as you. Surely if they can just keep finding adjustments to make C++ fractionally safer it'll be as safe as Rust. Right? If every three years they make it 10% less unsafe, surely in thirty years it's... oh right, about 65% less unsafe. Huh.
This is very inaccurate. Simple (i.e. non-dependent) types can describe very, very few properties. 99% of correctness properties cannot be described with simple types at all. That is exactly why, from ATS's vantage point, Rust is about as "safe" as Assembly; its types can guarantee almost nothing, while ATS can guarantee virtually everything.
So now the question is, with what little simple types give us (which is still useful), how much are we willing to pay for what confidence in their soundness. After all, Rust doesn't actually give us 100% safety, because we interact with C code etc.. But it does give us some higher confidence than the one given to us by Zig. So now the question is, since we don't have 100% confidence anyway - there are no zeros or ones here, neither on cost nor on the benefit side - how much are we willing to pay for what amount of added confidence?
Some people find the cost of Rust to be worth the added confidence; some don't. There is no binary line here.
> It's OK, the C++ Convener is absolutely convinced of the same line of thinking as you. Surely if they can just keep finding adjustments to make C++ fractionally safer it'll be as safe as Rust.
I'm not interested in making C++ as safe as Rust. For applications programming I use Java, which is somewhat safer than Rust, and for low-level code, I'm much more interested in other correctness properties than just safety. Safety gives me some small portion of the correctness I want, and it's great when that small portion is mostly free, but the bang-for-the-buck that I get from Rust is too low for me. I pay for all this complication in exchange for only guaranteeing no UAF? For that effort, I want a lot more.
And so, after all this long thread you're back to just saying you weren't actually talking about safe Rust in the conversation about safe Rust. It was all a big waste of my time.
https://security.googleblog.com/2024/09/eliminating-memory-s...
Anyway, you help prove my point, which is that even those who claim to believe in a binary distinction between what Rust happens to guarantee and anything else don't actually believe that, and understand that it's all about numbers and risks. There are many measures to reduce bugs - some through guarantees in the language, others without guarantees - that each have some level of effectiveness and some cost, and the goal is to balance those costs and reduce bugs as much as possible.
Anyone who follows the research in software correctness over the past five decades should know that in the seventies we thought we had the answers, but since the nineties we've known that there is no one right answer to correctness, and that there's no way to tell in advance which methods will be more or less effective.
Of course ignoring how Rust also helps against logic bugs by managing null values and having an expressive type system.
You seem to be the one completely focused on the binary question since that is the only thing that allows C , C++ etc. to still be part of the conversation.
I would say that a cursory search on ”segfault” in the Bun repo tells a different story.
https://github.com/oven-sh/bun/issues?q=is%3Aissue%20state%3...
This is on top of the cultural part, which has led to idiomatic Zig being less likely to heap allocate in the first place, and more likely to consider ownership in advance. This part shouldn't be underestimated.
You presumably intend "shouldn't be underestimated" rather than "can't be". I agree that culture is crucial, but the technology needs to support that culture and in this respect Zig's technology is lacking. I would love to imagine that the culture drives technology such that Zig will fix the problem before 1.0, but Zig is very much an auteur language like Jai or Odin, Andrew decides and he does not seem to have quite the same outlook so I do not expect that.
Good call, I've fixed that.
Maybe if someone bends over backwards to rationalize it, but not in any real sense. Zig doesn't have automatic memory management or move semantics.
In C++ you can put bounds checking in your data structures and it is already in the standard data structures. You can't build RAII and moves into zig.
In a simple, real sense. Zig prevents out-of-bounds access just as Rust does; C++ doesn't. Interestingly, almost all of Rust's complexity is invested in the less dangerous kind of memory unsafety (https://cwe.mitre.org/top25/archive/2024/2024_cwe_top25.html).
> You can't build RAII and moves into zig.
So RAII is part of the definition of memory safety now?
Why not just declare memory safety to be "whatever Rust does", say that anything that isn't exactly that is worthless, and be done with that, since that's the level of the arguments anyway.
We could, of course, argue over which of Rust, Zig, and C++ offers the best contribution to correctness beyond the sound guarantees they make, except these are empirical arguments with little empirical data to make any determination, which is part of my point.
Software correctness is such a complicated topic and, if anything, it's become more, not less, mysterious over the decades (see Tony Hoare's astonishment that unsound methods have proven more effective than sound methods in many regards). It's now understood to be a complicated game of confidence vs cost that depends on a great many factors. Those who claim to have definitive solutions don't know what they're talking about (or are making unfounded extrapolations).
Then why do my data structures detect if I go out of bounds?
Interestingly, almost all of Rust's complexity is invested in the less dangerous kind of memory unsafety
I didn't say anything about rust.
So RAII is part of the definition of memory safety now?
Yes. You can clean up memory allocations automatically with destructors and have value semantics for memory that is on the heap.
Why not just declare memory safety to be "whatever Rust does", say that anything that isn't exactly that is worthless, and be done with that, since that's the level of the arguments anyway.
Why are you talking about rust here? Focus on what I'm saying.
We could, of course, argue over which of Rust, Zig, and C++
if anything, it's become more, not less, mysterious over the decades
Says who?
I don't care about rust or zig, I'm saying that these are solved problems in C++ and I don't have to deal with them. Zig does not have destructors and move semantics.
Because you have iterator debugging and/or assertions turned on and are only using non-primitive data structures (e.g. std::vector, std::array).
Zig does the thing that Rust and Go do where it makes the primary primitive for pointers to chunks of memory (slices) bounds checked. You can opt out with optimization settings, but I think most programs will build in "safe release" mode unless they're very confident in their test coverage.
It's strictly better than C++, because in practice codebases are passing lots of `(data, len)` params around no matter how strongly you emphasize in your style guide to use `std::span`. The path of least resistance in Zig, including the memory allocator interface, bundles in language-level bounds checking.
Do you have any citations to support this 'safe release' theory? Like there are not many Zig applications and not many of them document their decisions. One i could find [1] does not mention safe anywhere.
The current build system docs don't prioritize one build mode over another:
https://ziglang.org/learn/build-system/
> Standard optimization options allow the person running zig build to select between Debug, ReleaseSafe, ReleaseFast, and ReleaseSmall. By default none of the release options are considered the preferable choice by the build script, and the user must make a decision in order to create a release build.
But for more opinionated recommendations, ReleaseSafe is clearly favored:
https://zig.news/kristoff/how-to-release-your-zig-applicatio...
> ReleaseSafe should be considered the main mode to be used for releases: it applies optimizations but still maintains certain safety checks (eg overflow and array out of bound) that are absolutely worth the overhead when releasing software that deals with tricky sources of input (eg, the internet).
https://zighelp.org/chapter-3/
> Users are recommended to develop their software with runtime safety enabled, despite its small speed disadvantage.
If you could somehow collect real-world data, the overwhelming majority of Zig programs aren't released and have likely only made debug builds :P
A problem not solved in C++ is the need to reserve a single bit-pattern per type that can be moved from, to indicate that it has been moved from (and is not a valid value for any other purpose).
I didn't mean you can't write C++ code that enforces that, I said C++ itself doesn't enforce it.
> Yes. You can clean up memory allocations automatically with destructors and have value semantics for memory that is on the heap.
Surely there are other ways to do that. E.g. Zig has defer. You can say that you may forget to write defer, which is true, but the implicitness of RAII has cause (me, at least) many problems over the years. It's a pros-and-cons thing, and Zig chooses the side of explicitness.
> Why are you talking about rust here? Focus on what I'm saying.
You're right, sorry :)
> Says who?
Says most people in the field of software correctness (and me https://pron.github.io). In the seventies, the prevalent opinion was that proofs of correctness would be the only viable approach to correctness. Since then, we've learnt two things, both of which were surprising.
The first was new results in the computational complexity of model checking (not to be confused with the computational complexity of model checkers; we're talking about the intrinsic computation complexity of the model checking problem, i.e. the problem of knowing whether a program satisfies some correctness property, regardless of how we learn that). This included results (e.g. by Philippe Schnoebelen) showing that even though there would be the reasonable expectation that language abstractions could make the problem easier, even in the worst case - it doesn't.
The second was that unsound techniques, including engineering best practices, have proven far more effective than was thought possible in the seventies. This came as quite a shock to formal methods people (most famously, Tony Hoare, who wrote a famous paper about it).
As a result, the field of software correctness has shifted its main focus from proving program correct to finding interesting confidence/cost tradeoffs to reduce the number of bugs, realising that there's no single best path to more correctness (as far as we know today).
> I'm saying that these are solved problems in C++ and I don't have to deal with them. Zig does not have destructors and move semantics.
That's true, but these are not memory safety guarantees. These are mechanisms that could mitigate bugs (though perhaps cause others), and Zig has other, different mechanisms to mitigate bugs (though perhaps cause others). E.g. see how easy it is to write a type-safe printf in Zig compared to C++, or how Zig handles various numeric overflow issues compared to C++. So it's true that C++ has some features we may find helpful that Zig doesn't and vice-versa, we can't judge which of them leads to more correct programs. All I said was that Zig offers more safety guarantees than C++, which it does.
And C has free, but you have to remember to use it and use it correctly every single time instead of the memory working by default with no intervention.
Says most people in the field of software correctness
Not true, the last 30 years have had much safer languages than before java, scripting languages, modern C++ and rust.
That's true, but these are not memory safety guarantees.
Pragmatically they mean you don't have to worry about bounds checking or memory deallocation and it stops being a problem. Zig doesn't have this and it doesn't have safety guarantees either.
But even in a c++ destructer if you forget to dealloc a private heap allocation ... then you're in the same darn place.
I think that the alternative where all allocations and deallocations are made clear (in Zig, allocating routines are "coloured" by convention) is the better alternative, at least for the kind of low-level programming I do and for my way of thinking about low-level code.
When I write code where I don't want to see or worry about each implementation detail or see exactly where and when each operation is executed, I use Java.
If you don't want memory leaks, it probably is what you want.
There isn't a ton of difference between putting a delete in a destructor and using a smart pointer, but the best approach is to go beyond smart pointers and just use a vector, which does everything for you.
A lot of this seems like you haven't done a lot of modern C++ to see how elegant and smooth it is.
No, sorry.
> A lot of this seems like you haven't done a lot of modern C++ to see how elegant and smooth it is.
It's true I don't want to use modern C++ (except for certain compile-time tests), and that's because when I write low-level code what I care about the most is being able to see the machine instructions that will be emitted, especially the ones related to memory management (I don't care so much about the computational instructions; the compiler, and the CPU, will rewrite them dramatically anyway).
If I find myself needing pretty abstractions, I reconsider my use of a low-level language. That's also why I'm philosophically opposed to the concept of zero-cost abstractions. What I want from C++ that C doesn't give me is templates and some other compile-time stuff, which are much more convenient for me than C macros. I don't want any implicitness in my low-level code. Zig gives me exactly what I want from a language that specialises in low-level code.
My problem with zero-cost abstractions is that they result in code that looks high-level, while still only really having a low abstraction level (what I mean by a high or low abstraction level is the extent to which I can make local changes without influencing non-local code). The resulting code looks pretty on the page, but makes me work a lot harder to understand what is being executed and when. When I don't want to care about such details, I use Java.
Just last week I had an interesting discussion, that's somewhat similar to this, about Haskell with a colleague. He said something like, look how clearly you can see the algorithm on the screen. And I said, yes, it looks great when trying to understand what it does by reading, but it's terrible to understand when you try analysing it in the debugger or profiler. The point is that there's different kinds of information that code can communicate. Sometimes you want just the function of the algorithm to be clear and want the language to hide execution details, and sometimes you're just as interested in the execution details.
You said no then didn't back it up with anything and just went on a tangent of your own personal preferences.
"My solution offers X, therefore, if you want X, you should use my solution" is just a logical fallacy; the conclusion doesn't follow from the premise.
Also, I'm not so sure smart pointers and destructors actually prevent memory leaks. E.g. cycles. You can deal with cycles, but memory leaks due to them are not "prevented" just by the use of smart pointers and destructors.
Java does prevent leaks due to cycles, but it still doesn't prevent leaks due to "forgotten objects", so you get memory leaks in Java, too, even though it has fewer leaks than C++/Rust with GC pointers. So given that you can have fewer leaks than with smart pointers and still not have them completely gone, I wouldn't say that smart pointers "prevent" leaks. But yes, they're one of the ways to reduce them.
Well, they do, that's why people use them. I'm not sure why you would make the case against using another language that makes management manual.
Also reference counting cycles are only even possible if you use reference counting in the first place, which isn't necessary for single threaded scope based memory management.
Java does prevent leaks due to cycles
Fantastic but you said zig is safe than C++, what does java have to do with it?
They're one of the ways of reducing, not preventing memory leaks. And they're pretty ok at that, but I find other approaches to work better for me.
Also you say not preventing memory leaks but your only example is cycles, which is only happens with reference counting, which is only even necessary with multi-threading. Also it implies a data structure that contains a bunch of shared pointers internally that end up referencing each other, which implies a linked list or tree made out of shared pointers, which is essentially a wild mistake huge mistake in the first place. In practice this doesn't really happen.
Yeah, it's fine, but I think that systematically the Zig approach is a lot better for my needs and preferences.
> In practice this doesn't really happen.
I've only been programming low-level code for 25 years or so, including hard realtime safety-critical software, where a missed deadline or a stack overflow means dead people, so I have some grasp on what can really happen.
There's a clear tradeoff between forgetting to write some code and not noticing when code runs when you may not expect it to. Saying that one is universally better than the other is, at the very least, unsubstantiated.
In my low-level code I don't want any calls that I can't see as explicit calls in the code (BTW, it's not that I don't use destructors at all - I'm not a fanatic - it's that I try to avoid relying on RAII).
Hidden functions aren't a big deal in practice. You have functions calling other functions in C all the time and you have to know what they are doing under the hood, same with data structures and their operators.
Again, that's like me saying "forgetting defer isn't a big deal in practice." You seem to disagree with that and I disagree with your assertion. It's largely a matter of personal preference.
And no, except for some compile-time tests/assertions and a smattering of lambdas, we don't use most of "modern C++" (or almost any of std). Sometimes we need to emit hand-crafted machine code, and sometimes we may need to mess around with stack frames directly (which means we can't use destructors in those cases. We do use destructors a fair bit, but I personally soured on RAII some ten years ago.
It's the opposite, because for defer you need to be proactive and do it every time, but destructors are going to do the right thing and work, but if you question what's happening you can investigate.
One is happening automatically and already works, the other is manual and you always have to remember or your program is broken.
we don't use most of "modern C++"
You might want to try it out, it would probably help with all these misunderstandings.
No, it's the opposite, because with defer you always see all the operations that are happening, while with destructors you have to be proactive and every time check what operations are done in your methods.
Look, I've used destructors a lot for many, many years (and still do, as it's not always up to me), they have pros and cons, some people really like them, some don't, and it's okay. It's not like there's some universal truth here or empirical data that strongly favours one side over the other.
> You might want to try it out, it would probably help with all these misunderstandings.
Thank you for your suggestion, but being one of the most foundational pieces of C++ software in the world, I think we've got it covered.
Tangential, but memory leaks are not considered a safety issue, especially by those who do like to contrast with Rust (as it isn't prevented in Rust).
If we're talking about features that help (though not completely avoid) some bugs, you can't just consider the features C++ has and Zig doesn't, but also consider the relevant features Zig has and C++ doesn't.
Like I said, I don't know which of those two languages results in more correct programs (just as I don't know the answer for Zig vs Rust), but I do know that Zig offers more safety guanrantees than C++, and Rust offers more safety guarantees than Zig. I certainly don't claim that more safety guarantess always equals more correctness at a lower cost.
Even more tangentially, in the Java world we have this thing called "integrity" (https://openjdk.org/jeps/8305968) which is the ability of Java code to locally establish inviolate invariants that are guaranteed to hold globally (unless the application author - importantly not any library code - explicitly allows them to be violated). C++ scores quite low on the integrity front, as virtually all intended invariants can be violated without a global flag, sometimes in ways that are hard to detect. In both Rust and Zig, integrity violations are generally easier to at least detect (although in Zig they're sometimes harder to establish in the first place; this is intentional, and I don't entirely agree with the justification for that, although I can see its merits in a low-level language).
> Not true, the last 30 years have had much safer languages than before java, scripting languages, modern C++ and rust.
I don't see how that contradicts what I said, especially since language that offer even more correctness - such as Idris or ATS - have had effectively zero adoption. The languages that have succeeded are safer than C or FORTRAN, but also clearly compromise on what they offer (compared to Idris/ATS) because of costs. They very much embody the an acceptance of tradeoffs, and much of the memory safety in most safe languages is offered through GCs, that come with the cost of higher memory footprint. If anything, their growing popularity has come due to advancements in GCs.
Rust (you brought it up this time) is particularly interesting, because it offers something different than before to prevent UAF but at a higher cost than previous popular safe languages. While I don't know how popular Rust will be in the future, its current adoption is quite significantly lower than any language that's ever become popular at the same age.
> Pragmatically they mean you don't have to worry about bounds checking or memory deallocation and it stops being a problem
I haven't noticed that either one of these has "stopped being a problem", and I think that those who either sell or buy Rust do so because they believe these are still significant problems in C++ (and I would agree, except I think there are worse problems in C++ - that Rust, unfortunately, adopted - even with respect to correctness, that Zig attempts to solve).
> Zig doesn't have this and it doesn't have safety guarantees either
Zig definitely has safety guarantees around bounds and numeric overflow that C++ doesn't.
Who told you that?
in the Java world we have this thing called "integrity"
Your claim was that zig is 'safer' than C++
Zig definitely has safety guarantees around bounds and numeric overflow that C++ doesn't.
This can be built in to a class too if someone really wants a bunch of branching in their math.
It seems like now safety is being redefined to say that memory leaks don't count and numeric overflow needs to be done like zig. If your program leaks memory, it eventually crashes if it runs indefinitely and that means you need to free memory, which means you need to free it at the right time only once.
There is no one definitive definition of memory safety, but it generally refers to things that can lead to undefined behaviour (in the C and C++ sense), usually due to "type confusion" (or sometimes "heap pollution"), i.e. referencing an address of memory that contains data of one type as if it were another, which can happen due to both bounds or UAF violations. Memory leaks don't cause undefined behaviour.
> This can be built in to a class too if someone really wants a bunch of branching in their math.
Let me say this again: The Zig language, just like Rust, guarantees that there are no bounds violations (except in syntactically demarcated unsafe code). C++ just doesn't do that.
That is not to say that the lack of this guarantee in C++ means you can't write correct programs in C++ as easily as in Zig or in Rust, but it is, nevertheless, a difference in the guarantees made by the language.
> It seems like now safety is being redefined to say that memory leaks don't count and numeric overflow needs to be done like zig
Memory unsafety is generally considered to be some subset of undefined behaviour (possibly including all undefined behaviour). Out-of-memory and stack overflow errors are definitely problems, but as they don't cause undefined behaviour (well, depending on stack protection) they're not usually regarded in the class of properties called memory safety.
Numeric overflows, on the other hand, might also not be regarded as memory safety, but they are very much undefined behaviour in both C and C++.
You said that already, but when saying zig is safer than C++, pragmatically it isn't because C++ bounds checks in the standard library but zig can never have the automatic resource management that C++ has, and that's what people use all day every day.
But if we're talking about memory safety - which is something very specific - then, for whatever it's worth, Zig is more memory-safe than C++ and Rust is more memory-safe than Zig.
You said zig is safer than C++, then to make that argument you keep trying to redefine what safety means to include only features in the language syntax but not done in libraries while saying memory leaks don't matter and automatically freeing memory correctly doesn't matter.
I definitely didn't say that memory leaks don't matter. They could possibly matter more than memory safety. They are just not called memory safety bugs, or code injection bugs, or off-by-one bugs. Memory safety is a name given to a class of bugs that lead to undefined behaviour in C or C++. It's not necessarily the most important class of bugs, but it is one, and when we're talking about preventing code injection or memory safety issues, we're not talking about preventing memory leaks - even if they're worse.
Now, if you want to talk about memory leaks and not memory safety (again, it's just a name given to some bugs and not others) then C, C++, Zig, and Rust, do not prevent them. Java prevents the kind "I forgot to free this object" kind, but not "I forgot about this object" kind.
Now, because unlike memory safety, none of these languages prevents memory leaks, it's really hard to say which of them leads to the fewest memory leaks. You really like C++'s destructors and find them useful, I really hate C++'s destructors and find them harmful, and we all have different opinions on why our way is better when it comes to memory leaks. What we don't have is data. So you can say having destructors helps and I can say no they don't until the end of time, but there's no way of knowing which is really better. So all we can do now, is to use the things we find useful to us without making broad generalisations about software correctness that we can't actually support with any evidence.
Not the one with manual memory management.
When writing in a low-level language, I always want to know where I'm allocating and where I'm deallocating. Zig makes allocations easier to spot than in C/C++/Rust, and deallocations easier to spot than in C++/Rust. That's just how I like it. I'm not saying everyone must have the same preference.
So we're talking about the likelihood of making a mistake - and of not easily finding it - in the absence of safety. Without any empirical data, all we have to rely on is personal preferences and gut feeling, and those are different from one person to the other. Even expert programmers often violently disagree on what's "better", and I think that's because things can be better or worse for different use cases, but also better or worse for different programmers working on the same problem.
I would like there to be more empirical studies, but I also think we can probably live without them, because software is such an important economic activity that it's under significant selective pressures. If one approach significantly decreases the effort of delivering more value in software, it will spread almost universally (e.g. as unit tests have); the converse is that if something doesn't become universal, then it probably doesn't have a large universal impact.
https://news.ycombinator.com/item?id=44846507
Zig is safer than C++
I copy and pasted what you said.
No, you didn't. You wrote "You might like making and freeing every heap allocation but that doesn't mean it's safer." That is a very different claim (and one I didn't make) than "Zig is safer than C++".
Zig is safer than C++ because it makes some absolute guarantees that C++ doesn't, and C++ doesn't make any absolute guarantees that Zig doesn't. But no memory leaks is not a guarantee that either Zig or C++ make.
Zig and Rust guarantee that all Zig and Rust programs are free of out-of-bounds access (unless they explicitly use syntactically distinct "unsafe" operations). C++ makes no guarantee about all C++ programs that these two other languages don't make.
To what degree that matters is a perfectly fine subject for debate, but that particular thing - again, important or not - is how I (and others) define "safety" (as it pertains to a language), and I made it clear that that's the definition I'm using.
By that definition, memory leaks are not safe in C, C++, Zig, or Rust, but Zig is still safer than C++ because of other properties that are safe in Zig.
No, you didn't.
I literally did. I linked your comment and copy pasted from it. What are you even talking about here? That's what you wrote, it's right there.
I'm not aware of any popular language - even a high level one - that prevents memory leaks with any kind of guarantee (although these come in different flavours too, and some kinds are prevented in Java). C/C++/Rust/Zig certainly don't.
Memory leaks are often a part of the definition of memory safety because otherwise it is trivial to fix use-after-free, i.e. simple never free the memory. Rust dropped this part because it was too hard. So in some sense the cheated a little bit.
That depends what you mean by "safer", but it is an empirical fact that unsound methods (like tests and code reviews) are extremely effective at preventing bugs, so the claim that formal methods are the only way is just wrong (and I say this as a formal methods guy, although formal methods have come a long way since the seventies, when we thought the point was to prove programs correct).
> The exact opposite. You can see it play out in the C vs C++ arena. C++ is essentially just a more complex C. But I trust modern C++ much more in terms of memory safety.
I don't understand the logical implication. From the fact that there exists a complicating extension of a language that's safer in some practical way than the original you conclude that complexity always offers correctness benefits? This just doesn't follow logically, and you can immediately see it's false because Zig is both simpler and safer than C++ (and it's safer than C++ even if its simplicity had no correctness benefits at all).
I agree that tests and reviews are somewhat effective. That's not the point. The point is that if you look at the history of programming languages simplicity in general goes against safety. Simplicity also goes against human understanding of code. C and assembly are extremely simple compared to java, python, C#, typescript etc. yet programs written in C and assembly are much harder to understand for humans. This isn't just a PL thing either. Simplicity is not the same as easy, it often is the opposite.
> I don't understand the logical implication. From the fact that there exists a complicating extension of a language that's safer in some practical way than the original you conclude that complexity always offers correctness benefits? This just doesn't follow logically, and you can immediately see it's false because Zig is both simpler and safer than C++ (and it's safer than C++ even if its simplicity had no correctness benefits at al
It's the greatest example of you take a simple language, you add a ton of complexity and it becomes more safe. You are right that zig is simpler and safer, but it's a green field language. Else I might as well say rust is more safe than zig and also more complex. The point is as to isolate simplicity as the factor as much as possible.
I would even say that zig willingly sacrifices safety on the alter of simplicity.
But Java and Python are simpler yet safer than C++, so I don't understand what trend you can draw if there are examples in both directions.
> It's the greatest example of you take a simple language, you add a ton of complexity and it becomes more safe.
But I didn't mean to imply that's not possible to add safety with complexity. I meant that when the sound guarantees are the same in two languages, then there's an argument to be made that the simpler one would be easier to write more correct programs in. Of course, in this case Zig is not only simpler than C++, but actually offers more sound safety guarantees.
Is Zig such an amazing language that while using it you won't ever need reference-counted pointers?
Due diligence every single time after the tenth refactor?
import std.meta: AliasSeq;
enum E { a, b, c }
void handle(E e)
{
// Need label to break out of 'static foreach'
Lswitch: final switch (e)
{
static foreach (ab; AliasSeq!(E.a, E.b))
{
case ab:
handleAB();
// No comptime switch in D
static if (ab == E.a)
handleA();
else static if (ab == E.b)
handleB();
else
static assert(false, "unreachable");
break Lswitch;
}
case E.c:
handleC();
break;
}
}Could've done this and be as safe, but perhaps it loses the point of the article:
enum U { A, B, C }
void handle(U e)
{
with (U)
final switch (e) {
case A, B:
handleAB();
if (e == A) handleA(); else handleB();
break;
case C:
handleC();
break;
}
}Unfortunately for all fanatics, language really doesn't matter that much.
I have been using KDE for years now and it works perfectly good for me. It has no issues/crashes, it has many features in terms of desktop environment and also many programs that come with it like music player, video player, text editor, terminal etc. and they all work perfectly well for me. Almost all of this is written in C++. No need to mention the classic linux/chromium etc. etc which are all written in c++/c.
I use Ghostty which is written in zig, it is amazingly polished and works super well as well.
I have built and used a lot of software written in Rust as well and they worked really well too.
At some point you have to admit, what matters is the people writing software, the amount of effort that goes into it etc. it is not the langauge.
As far as memory-safety goes, it really isn't close to being the most important thing unless you are writing security critical stuff. Even then just using Rust isn't as good as you might think, I uncountered a decent amount of segfaults, random crashes etc. using very popular Rust libraries as well. In the end just need to put in the effort.
I'm not saying language doesn't matter but it isn't even close to being the most important thing.
Safety is the selling point of Rust, but it's not the only benefit from a technical point of view.
The language semantics force you to write programs in a way that is most convenient for the optimizing compiler.
Not always, but in many cases, it's likely that a program written in Rust will be highly and deeply optimized. Of course, you can follow the same rules in C or Zig, but you would have to control more things manually, and you'd always have to think about what the compiler is doing under the hood.
It's true that neither safety nor performance are critical for many applications, but from this perspective, you could just use a high-level environment such as the JVM. The JVM is already very safe, just less performant.
Also, treating all languages that don't ensure full memory safety as if they're equally problematic is silly. The reason not ensuring memory safety is bad is because memory unsafety as at the root of some bugs that are both common, dangerous, and hard to catch. Only not all kinds of memory unsafety are equally problematic, Zig does ensure the lack of the the most dangerous kind of unsafety (out-of-bounds access) while making the other kind (use-after-free) easier to find.
That the distinction between "fully memory safe" and "not fully memory safe" is binary is also silly not just because of the above, but because no lanugage, not even Java, is truly "fully memory safe", as programs continue to employ components not written in memory safe languages.
Furthermore, Zig has (or intends to have) novel features (among low-level languages) that help reduce bugs beyond those caused by memory unsafety.
Your writing feels accessible. I find it makes complex topics approachable. Or at least, it gives me a feel of concepts that I would otherwise have no grasp on. Other online writing tends to be permeated by a thick lattice of ideology or hyper-technical arcanery that inhibits understanding.
Yeah. By omitting a large swath of nuance. It reeks of "you can approximate cow with a sphere the size of Jupiter". It's baffling ludicrous.
Any rhetorical device that equates Java/C# (any memory safe Turing language ) safety with C is most likely a fallacy.
I agree, but I didn't do any of that. If anything my point was that 1. safety is clearly not a binary thing and no one really treats it as such (even those who claim it is a binary distinction) and 2. that trying to extrapolate from one language to another based on choosing some property that we think is the most relevant one may be assuming that which we seek to prove.
Saying that C, C++, and Zig are "the same" because they all make fewer guanratees than Rust is as silly as saying C, C++, Zig, and Rust are the same because they all offer fewer guarantees than ATS, or that Rust and Java are the same because they offer similar guarantees but with very different complexity costs.
Also, the focus on memory safety is justified because of the security bugs it causes, but the two major kinds of unsafety (out-of-bounds access and use-after free) aren't equally dangerous, and Rust pays most of its complexity cost to prevent the less dangerous of the two (https://cwe.mitre.org/top25/archive/2024/2024_cwe_top25.html). There's even more nuance here, because some techniques focus on reducing the risk of exploitable use-after-free bugs without preventing it or even making it easier to detect at all (https://www.cl.cam.ac.uk/~tmj32/papers/docs/ainsworth20-sp.p...).
It's all a matter of degree, both when it comes to the risk as well as to the cost of avoiding it. Not much here, beyond the very basics, is simple or obvious.
If you want to read some more even nuanced things I've written about software correctness, you can find some old stuff here: https://pron.github.io
No, it's as close to binary as you can get. Is your only source of Undefined Behavior FFI specially marked functions and/or packages? Have you checked data races for violating thread safety invariants? If yes - You're safe.
Allow a bit of unsafety into the system, like Go, and the unsafety can creep into your ecosystem. See https://www.ralfj.de/blog/2025/07/24/memory-safety.html
Is Go in mostly safer than C++? Maybe. But you can never prove that about either of them. So while you may pretend one is safer than the other, it's a bit like picking which boat is taking on more water.
Can you prove Rust code is safe? Well there is the simple way - no unsafe. But what about unsafe blocks? Yes, you can prove it for them as well. If the unsafe code block is it will note safety invariants and why are they preserved by unsafe block. Can this be practically done? Depends on the crate, but with enough effort, yes.
Maybe? You forgot /s there? Asking if Go is mostly safer than C++ is like asking if child proof caps are mostly safer than mason jars for medicine.
> https://www.ralfj.de/blog/2025/07/24/memory-safety.html
Can you show RCE using this? Because, to this day, no one has been able to show me a reasonable program that someone would write and that would result in RCE from "Go memory unsafety" presented in this article. Meanwhile, I can show you thousands of examples and CVEs of how you can easily get RCE using C++.
> Can you prove Rust code is safe? Well there is the simple way - no unsafe. But what about unsafe blocks? Yes, you can prove it for them as well. If the unsafe code block is it will note safety invariants and why are they preserved by unsafe block. Can this be practically done? Depends on the crate, but with enough effort, yes.
You can’t prove Rust code "safe" in the absolute. Safety guarantees apply to safe Rust under the language’s (still evolving) rules, and even then the compiler/backend must uphold them. We still hit unsoundness[1] and miscompiles in safe code (equal pointers comparing unequal... [2]), and the official unsafe code guidelines are not a finalized spec. So documenting invariants in unsafe helps a lot, but it’s not a formal proof, especially across crates and compiler versions.
1. https://github.com/rust-lang/rust/issues/107975
2. https://github.com/rust-lang/rust/labels/I-unsound
On the safety spectrum: C/C++ -> Zig -> Go -> Rust
Neither are memory safe, so if you're going by the "safe in practice" definition then it has to be verified experimentally. Hence - maybe.
> Can you show RCE using this?
RCE and Undefined Behavior are two intersecting sets. Not all UB is RCE, but what all UBs are hard to track bugs that happen at most inconvenient times.
> You can’t prove Rust code "safe" in the absolute.
Sure you can't prove that any Turing machine has some property X or not. But Rust Belt (pdf https://hal.science/hal-01633165v2/document) is proof that safety of safe blocks is extensible and can apply to safe interfaces encapsulating unsafe well.
> We still hit unsoundness[1] and miscompiles in safe code (equal pointers comparing unequal... [2])
Your [1] is an LLVM bug.
As for [2] yeah there ARE bugs, wrong flags, bus they are fixing it and triggering most requires stuff like nightly, hitting bugs in specific hardware/LLVM, or very contrived trait constructions.
I mean sure by that token nothing is ever safe, reality is crooked, coins have three sides, and white is black, so traffic crossing are mass hallucinations.
> On the safety spectrum: C/C++ -> Zig -> Go -> Rust
Honestly it goes like this. C -> C++ --> Zig ------> Go --------------------------------------------------------------------------> Rust --> Ada Core
This is a ridiculous claim that it’s only "maybe". It’s so obvious, it’s like saying cars are not safe to drive, but if you use seatbelts and have airbags, then MAYBE they’re safer. I have verified this experimentally, like millions of other people. This argument is totally in bad faith, given the sea of CVEs caused by memory safety issues in C++ versus the almost virtually non-existent problem in safe Go in practice.
> Your [1] is an LLVM bug.
Yes, unfixed for two years. I don’t have this bug in Go, for example, so why, as a Rust user, should I care whose fault it is? If you buy a car and the engine doesn’t work as it should in some cases, do you accept the manufacturer saying, "Well, that’s the engine manufacturer’s issue, so all is OK"?
> As for [2] yeah there ARE bugs, wrong flags, bus they are fixing it and triggering most requires stuff like nightly, hitting bugs in specific hardware/LLVM, or very contrived trait constructions.
That went fast from "proven to be safe" to "yeah there are bugs".
> Honestly it goes like this. C -> C++ --> Zig ------> Go --------------------------------------------------------------------------> Rust --> Ada Core
And how did you arrive at these numbers of "—"? Did you "verify them experimentally"? Because I claim otherwise:
C --> C++ ----> Zig --------------> Go ----> Rust --> Ada Core
can you prove me wrong or prove you are right? You can't. It seems we can only agree on the ranking of the languages.
Given enough effort, you can banish all UB and their related CVEs from a codebase. So it becomes a contest of which library had more scrutiny. I.e. you can compare a battle-tested library like cURL to stuff like baby's first XML parser. Plus, seeing how something is safe in practice is much different than just being memory safe.
> That went fast from "proven to be safe" to "yeah there are bugs".
Modulo compiler/hardware bugs goes without saying. Nothing really can exist in vacuum. You could prove your program is proven to work correctly, but if you put it on a platform where carry can randomly flip, and your perfect proof falls flat.
> Yes, unfixed for two years. I don’t have this bug in Go, for example, so why, as a Rust user, should I care whose fault it is?
Because it will be eventually fixed, unlike Go's design (that said they could change their tune and fix it, and I'll respectfully correct my statements). Then again, it's not like it is in scope for Rust. It's a bug in LLVM.
Plus, `unsound` bugs get extra scrutiny. Hell they had to write a new trait solver, Polonius, to solve problems some traits presented to the safety system.
> And how did you arrive at these numbers of "—"?
How many UBs do you leave open? How many errors other errors can your program prevent (e.g. do you allow `null`/`nil`)? And was this an error extremely obvious at time of writing (billion dollar mistake)?
Sure. With infinite energy, anything’s possible - we can prevent all bugs. The problem is, we don’t have infinite energy.
> So it becomes a contest of which library had more scrutiny. I.e. you can compare a battle-tested library like cURL to stuff like baby's first XML parser.
I agree that software varies in quality, and that different people and teams can produce very different levels of quality. The issue is that we’re talking about languages used by many different people with varying capabilities and levels of scrutiny.
What really annoys me is that my phone can get hit with an RCE just from someone sending me a message. That’s exactly the kind of vulnerability that happens because languages like C or C++ are so easy to misuse, due to their complexity and lack of safety. You just can’t compare that to Go or Rust, they’re in a completely different galaxy.
> How many UBs do you leave open? How many errors other errors can your program prevent (e.g. do you allow `null`/`nil`)? And was this an error extremely obvious at time of writing (billion dollar mistake)?
Everything is a trade off. I find Go to be a middle ground where I can offload much of the memory management complexity to the garbage collector, yet still have control over the aspects I care about, with acceptable performance for multi-threaded networking code.
I make extensive use of atomics and mutexes and I don’t need "fearless concurrency," because I can only recall one serious concurrency bug I’ve ever had (a data race) which took some debugging time to track down, but it wasn’t in Go. YMMV.
As for the “billion dollar mistake”, I understand the argument in the context of C or C++, but not in the context of Go. Once every few months, I get a nil pointer dereference notification from the monitoring stack. The middle network layer will report the error to the user, I fix it, and move on, a $0 mistake.
I used Rust in many other projects, where I would never use C++ or C. Rust has a higher cognitive load, more language complexity, and refactoring is painful but it’s a trade off.
Under Go’s memory model, there’s really only one form of undefined behavior: a program with a data race has no defined semantics. That’s pretty much it. Compare that to C or C++, it’s like I said, a different galaxy. I find the whole discussion around Go’s safety exaggerated, and more theoretical than what actually comes up in practice.
You don't need infinite energy but it is a significant undertaking. The UB seem to obey a power law in regards to their lifetime i.e. every X years number of UB caused problems halves.
> I can only recall one serious concurrency bug I’ve ever had (a data race) which took some debugging time to track down, but it wasn’t in Go. YMMV.
That's what is nasty about UB in data races. It's not trivial to find and it's a pain in the neck to reproduce. So even taking you at your word, you not having issues with data races isn't the same as "I wrote code free of data races".
> As for the “billion dollar mistake”, I understand the argument in the context of C or C++, but not in the context of Go.
Even without a chance of UB. You're adding an implicit `Type | null` to every piece that uses nullable code without handling the null case. Each time you forget to do it, you cause either an UB or a null pointer error. And the place it manifests is different from where it's generated.
Furthermore, listening to Tony Hoare's talk (https://youtu.be/ybrQvs4x0Ps?t=1682), he mentions that trying to avoid the null, in the context of a language like Java or C#, that permits them is also causing people to waste time working around them.
> The middle network layer will report the error to the user, I fix it, and move on, a $0 mistake.
Sure, but that's not a $0 mistake. It's {time to fix * hourly rate}. Even if you're doing for OSS, you could have been spending that time doing something else.
> Everything is a trade off.
Sure. But trading "ease of use" for "preventing errors" is not something I want in any language I use. Null/nil are about as good concepts today as silently skipping errors.
It's an insignificant amount of time in my experience, which makes this irrelevant in practice. I’ve never had to "work around them", this is either a theoretical argument or just sloppy programming.
> Sure, but that's not a $0 mistake. It's {time to fix * hourly rate}. Even if you're doing for OSS, you could have been spending that time doing something else.
Oh, come on, you’re smart enough to understand that a few minutes every few months may not be exactly $0, but it’s such an insignificant value that it can be treated as $0.
> Sure. But trading "ease of use" for "preventing errors" is not something I want in any language I use.
Well, you can choose your trade offs, and you can let others choose theirs. So I guess you use Ada for everything? or maybe you use Coq to prove everything? Of course you don’t, you’re also making trade offs, just different ones.
> Null/nil are about as good concepts today as silently skipping errors.
You exaggerate again. I do not agree with that framing, and I back my opinion with experience from practice.
You're smart enough to know that just because you sum small things, you can aggregate them over many people and a long time (circa 50 years) to get to massive numbers.
> Well, you can choose your trade offs, and you can let others choose theirs. So I guess you use Ada for everything? or maybe you use Coq to prove everything? Of course you don’t, you’re also making trade offs, just different ones.
Ada doesn't give you full memory safety. I think you need Ada.Spark. I can't find as much teaching material on it, but definitely on my radar. Also, I'm more of a Lean guy myself, but it has a different purpose than Rust. I.e. proving things.
And proofs aren't everything.
I did have one once (https://pron.github.io) but I don't know how accessible it is :) (two post series are book-length)
> not even Java, is truly "fully memory safe", as programs continue to employ components not written in memory safe languages.
This is a silly point.
Memory safety (like soundly ensuring any non-trivial property) must come at a cost (that's just complexity theory). You can pay for it with added footprint (Java) or with added effort (Rust). Some people are disappointed that Zig offer more safety than C++ but less than Rust in exchange for other important benefits, while others are disappointed that the price you have to pay for even more safety in Rust is not a price they're happy to pay.
BTW, many Rust programs do use GC (that's what Rc/Arc are), it's just one that optimises for footprint rather than speed (which is definitely okay when you don't use the GC as much as in Java, but it's not really "without GC", either, when many programs do rely on GC to some extent).
> This is a silly point.
Why? It shows that even those who wish to make the distinction seem binary themselves accept that it isn't, and really believe that it matters just how much risk you take and how much you pay to reduce it.
(You could even point out that memory corruption can occur at the hardware level, so not only is the promise of zero memory corruption not necessarily worth any price, but it is also unattainable, even in principle, and if that were truly the binary line, then all of software is on the same side of it.)
... or runtime errors (C, Zig presumably).
Ok Zig is clearly better than C in that regard but I think it remains to be seen if it is better enough.
> many Rust programs do use GC (that's what Rc/Arc are)
This is not what most people mean when they say GC.
> Why?
Because when we're talking about the memory safety of a language we're talking about the code you write in that language (and excluding explicit opt-in to memory unsafe behaviour, e.g. `unsafe` or Python's `ctypes`).
Saying "Java isn't memory safe because you can call C" is like saying "bicycles can fly because you can put them on a plane".
Sure, but you lose the clarity of errors. The error wasn't in `comptime unreachable` but in `inline .a .b .c`.
Zig I think has potential but it hasn't stabilized enough yet for broad adoption. That means it'll be awhile before it's built an ecosystem (libraries, engines etc.) that is useful to developers that don't care about language design.
Memory safety? Still entirely manual. Race conditions? Nothing in the language prevents them. There’s no ownership model, no lifetime analysis, no way to tie resource management to the type system. Compare that to Rust’s borrow checker or modern C++’s RAII and concepts. Zig’s type system is shallow. comptime is nice for generating code, but it doesn’t give you formal guarantees or expressive power for invariants, safety, or correctness.
The type system itself has no serious formal grounding. It can’t encode complex invariants, can’t track aliasing, can’t enforce concurrency safety and can’t model safe resource lifetimes. These aren’t academic extras — they’re exactly what decades of research in programming languages, operating systems and concurrent computing tell us you need to scale safety and correctness. Zig ignores them. Performance? When the policy is in the type (allocator choice, borrowing/ownership, fusion shape), Rust/C++ compilers can specialize, inline, and eliminate overhead. In Zig, the same policies are usually runtime values or conventions, which means more indirect calls, more defensive copies and fewer whole-program optimizations.
Concurrency is another major gap and in a real systems language, it cannot be an afterthought. Even if Zig isn’t currently aiming to solve concurrency or safety, a “serious” systems language inevitably has to, because these are the problems that determine scalability, maintainability and security over decades. The async model in Zig is little more than manual coroutine lowering: the compiler rewrites your function into a state machine and leaves correctness entirely to the programmer. There’s no structured concurrency, no safe cancellation, no prevention of shared-state hazards. Without a concurrency model that integrates into the type system, you can’t make guarantees about thread safety or race freedom and you end up relying entirely on discipline (which doesn’t scale).
Even in its most-touted features, Zig seems to be solving syntactic sugar problems, not the important systems problems. defer and errdefer? They’re effectively cleaner syntax for patterns C has had for decades through GNU’s __attribute__((cleanup)) or macro-based scope guards. Error unions? A nice alternative to out-parameters but just syntactic polish over an old idea. comptime? A more integrated macro system but still aimed at reducing boilerplate rather than providing deeper correctness guarantees.
The allocator interface? Another missed opportunity. Zig could have made it type-aware, preventing allocator misuse and catching entire classes of errors at compile time. Instead, it’s basically malloc/free with slightly cleaner function signatures. No safety net, no policy enforcement.
Zig discards decades of research in type systems, concurrency models, safety guarantees, and memory management, then reimplements C with a few ergonomic wins and leaves the hard problems untouched. It’s a restart without the research and not systems language evolution.
I am not a Rust fanatic but by contrast if you’re moving away from C++ or C, Rust actually tackles the big issues. It enforces memory safety without a garbage collector, prevents data races in safe code through its ownership and type system, offers structured concurrency with async/await and has been battle-tested in production for everything from browser engines to operating systems to databases. It is built on decades of progress and integrates those lessons into a language designed to scale correctness and performance together.
In my own code (primarily C++ and Rust), Zig wouldn’t solve a single core problem I face. Memory safety would still be my responsibility, concurrency would still be entirely manual, performance tuning would remain just as challenging and the type system wouldn’t catch the subtle bugs that matter most. The net result would be cosmetic changes paired with fewer correctness guarantees. Even C, for all its flaws, is better defined than Zig (both in having a detailed, standardized specification and in benefiting from partial formalization).
I am eager and optimistic that Zig starts taking itself seriously as a systems language. With new talent, deeper engagement with existing research and a focus on solving the actual hard problems, not just smoothing over C’s syntax, Zig could grow into something much more than it is today. But until then, the question remains: what problems is Zig actually solving that make it worth adopting over Rust or even modern C++? What concrete systems programming problems has Zig’s development team personally run into that shaped its design and are those really the most critical issues worth addressing in a new systems language?
If all it offers is nicer syntax over the same old pitfalls, I don’t see it and I don’t see why anyone betting on long-term systems software should.
I think Zig gets some points here for legibility ;-).
If a dead code elimination pass didn't remove the 'comptime unreachable' statement, you'll now fail to compile (I expect?)
Unlike dead code elimination (which is an optimization pass that removes provably unused code), Zig's compile-time evaluation is deterministic and mandatory. When you use `inline .a, .b`, the compiler must generate separate instantiations for each enum variant. Within each instantiation, `ab` becomes a comptime-known value, making the inner switch deterministic at compile time.
This is similar to how C++ template instantiation works: the compiler doesn't "optimize away" unused template specializations—it simply never instantiates them in the first place. Zig's `comptime unreachable` works the same way: unreachable branches are never even considered for compilation because the control flow is resolved at compile time.
The difference matters because optimization-based approaches can vary between compiler versions or optimization levels, while Zig's semantic guarantees remain consistent. This makes `comptime unreachable` suitable for expressing static invariants that must hold regardless of compilation flags.
Doesn't mean it's not useful.
That sounds as bad as relying on undefined behaviour in C.
There are similarities here to C++ if constexpr and static_assert, if those are familiar to you.
Which is fine for small inputs and uses, but it's not something that would scale well.
I'm not familiar with Zig, but also ready to find out I'm not as familiar with type systems as I thought.
I think the post would be more helpful if it had a concrete use case. let's say a contrived bytecode VM:
dispatch: switch (instruction) {
inline .load, .load0, .load1, .load2, .load3 => |_, tag| {
const slot = switch (tag) {
.load => self.read(u8),
else => @intFromEnum(tag) - @intFromEnum(.load0),
};
self.push(self.locals[slot]);
continue :dispatch self.read(Instruction);
},
// ...
}
dispatch: switch (instruction) {
.load => {
self.push(self.locals[self.read(u8)]);
continue :dispatch self.read(Instruction);
},
.load0 => {
self.push(self.locals[0]);
continue :dispatch self.read(Instruction);
},
.load1 => {
self.push(self.locals[1]);
continue :dispatch self.read(Instruction);
},
.load2 => {
self.push(self.locals[2]);
continue :dispatch self.read(Instruction);
},
.load3 => {
self.push(self.locals[3]);
continue :dispatch self.read(Instruction);
},
// ...
}
That may be confusing, but basically `inline` is generating different code for the branches .a and .b, so in those cases the value of `ab` is known at compile time. So, the inner switch is running at compile time too. In the .a branch it just turns into a call to handle_a(), and in the .b branch it turns into a call to handle_b().
It is not meant for asserting dynamic “unreachability” (which is more like an assertion than a proof).
if false {
const _:() = panic!();
}
Fails to compile in Rust.
fn main() {
const {
if false {
let _:() = panic!();
}
}
}
fn main() {
const _:() = const { if false { panic!() } };
}
in zig they have one brach const.
in rust example from you, whole control flow ix is const. which is not rquivalent to zig. so how to have non const branches?
- Assigning a const conditionally?
- Naming a const _ ?
- () as a type?
- Assigning a panic to a constant (or variable) ?
fn main() {
match let {
if ()::<>unimplemented!() -> else;
}
}