Grouped allocations works especially well in parsers & ASTs where the lifetime is very bounded. Since the Rust rewrite, we still use arenas for Bun’s parsers and the bundler but not a ton elsewhere.
Not if you use segmented arrays
If you just don't write bugs, then yes all languages are equally robust, including assembly.
Zig, like C, is simply not a robust language. I don't know why this feels like something contentious? It's clearly not intended to be robust?
I don’t think it makes sense to say Zig is or isn’t intended to be robust in general. Like, we don’t say Rust isn’t robust since it doesn’t add dependent types and general purpose static verification that can do more general proofs. It’s focused on eliminating one class of memory bugs in particular, exactly the class of bugs that are the biggest challenge for software like Bun, and other software with complex lifetimes (it originated from Mozilla and Rust is perfect for browsers)
Zig is intended to be robust for software like TigerBeetle, or the Zig compiler itself, where memory lifetimes are simple.
I’d say the focus on built in tests, fuzzing, debug memory allocators and safe mode shows that Zig is absolutely intended to be robust, within the scope of what the language aims to be. Far more than C itself or most of its popular compilers ever did.
Despite TigerBeetle being one of the highest-profile remaining Zig projects, I actually don't think they're representative of the average Zig project at all.
And I think embedded software is a field where Zig will be at its best. The only thing it is missing is maturity. When project lifetimes are measured in decades and changing a single byte can cost millions, no one in his right mind will pick a language that is still in development. Things will become interesting when it reaches 1.0.
Not a lot of people write programs this way.
I've even seen it on some simulation software's core that was written in the 80s originally; at the time memory was much more constrained so allocating upfront meant you could check upfront whether the simulation could actually run or not vs crashing out part way through.
"Kelley describes why he created Zig, when other options including C, C++, Rust, and Go already exist. He said he set out to develop a digital audio workstation. He tried Go, but found interoperability with C libraries difficult, and said the garbage collector caused audio delays. He tried C++, or coding C-style using a C++ compiler, but found that small mistakes led to memory corruption bugs that took weeks to fix. He tried Rust but "really struggled to write code that would satisfy Rust's rules," and spent a month trying to make font rendering work."
https://www.theregister.com/software/2026/05/28/zig-creator-...
Give it a few years! I've noticed an explosion in interest in formal verification recently, especially since nowadays the bar to entry is so low: just ask your LLM agent to give it a go.
Of course you could argue that on average, most programmers are not going to have the right practices and skill, so on average you should prefer Rust. But that's unrelated to the argument I was making, and in any case not a very interesting point in my opinion.
The problem is mostly people graduating from school thinking that somehow there is only stack and heap, and malloc/free is how you do heap. That view completely ignores that the essence of programming systems is mostly to understand the machine, and then doing conceptual and architectural work on a solution (and also on a problem). The act of writing actual code is then mostly just translating those concepts into the digital world verbatim.
Allocating in large chunks is often not very performant which is why people came up with tools like the borrow checker, you often want to allocate and deallocate dynamically on a need-basis but that's exactly where bugs occur.
"Extraordinary claims require extraordinary evidence" -- Carl Sagan
That's just it, using Zig required more rigorous engineering than the Bun team were capable of.
Who are these "people" you speak of? It's possible to write software in low level languages that don't have these problems. Not a "non-zero" it might be possible, it can be done thoughtfully, and the popular notion it can't be done is backed only by incomplete anecdotes.
Should everything be written in low-level languages? No, that would be absurd. Is it a simple fact of life that not every person/team/organisation is capable of meeting certain standards of rigour? Yes. That's not to say anyone in the Bun team could not become sufficiently competent in the future. For whatever reason, current experience, incentives, and personal motivations did not make for a conducive environment to make Bun watertight in Zig.
Zig does help you. Array slices, explicit nullability of pointers, defer errdefer, explicit allocators, built-in leak detection, bounds checks, overflow detection, the list goes on. If you need to play around on that side of the fence, Zig gives you a lot to make sure you don't mess it up. If we were talking about C I'd give you your flowers, but we're not. The most common issues and vulnerabilities that crop in C from manually managing memory are strongly mitigated by a quarter of that list.
The good news here is that we have more than just anecdotes to support this, we have empirical evidence.
You could write a JS engine with Zig-like idioms (arena allocation, static initialization), but that would require re-writing the whole JS engine from the ground-up (though I would definitely be interested in it if someone actually tries to do it!)
Arena allocators & static initializers are not novel. You'll find them in high performance C++ projects as well, such as LLVM or JavaScriptCore. But arena allocators have the quite significant limitation that they only help when everything being allocated in them have approximately the same lifetime. So they don't help when you need to allocate memory to provide the native implementation of a JavaScript object, for example (eg, FFI).
Could you actually? That seems like a bad fit for a JS engine to me. Predictable memory requirements are great when you can have them, perhaps you can avoid complexity then, but for a JS engine?
The C++ interop of Swift is perfectly fine, to such a degree that FoundationDB is now using it effectively alongside its C++ origins.
I cannot take this seriously as tutorials on robust Zig Allocation Pools will store a deinit method for each item within the pool, so when the pool deinits, all internal objects can be deinit'd.
That is just RAII & dtors from first principles, except with extra overhead of manually storing fat pointers yourself (and the bugs that come with this). Instead of using a language with builtin guarantees & optimizations around handling this so your object pools don't need to carry around a bunch of function pointers. C++ has aggressive de-virtualization passes so at runtime a lot of the 'complex object hierarchies' can be flattened to purely static function calls.
Here I would just like to mention that if you have to rely on "de-virtualization" passes, you're in a miserable situation architecturally. If you have code where the overhead of virtual function calls might be too much to pay, don't do virtual functions then. End of story.
To deconstruct a pool of objects, I don't see what should ever be wrong with a function pointer. The overhead of loading the function pointer will get divided by the number of objects being deconstructed. Care to explain what's the issue here?
1. You're writing code you don't have to
2. That adds runtime overhead
3. That when you screw up has non-trivial security & resource management side effects
This is objectively indefeasible in nearly any vaguely professional context.
2. And the code being compiled is abstract & generic, it won't be instantiated for every type and bloat the executable or instruction cache.
3. Security concerns: With C++ virtual methods every object carries a mutable pointer too (to a vtable containing function pointers). What resource management side effects please?