Rendered at 12:27:55 GMT+0000 (Coordinated Universal Time) with Cloudflare Workers.
mccoyb 3 hours ago [-]
This is inspiring! At the same time, it’s not exactly clear to me how this is going to work in the long term without changes to the Zig language itself, questions below.
Assuming the goal is to be able to write compute kernels and shaders in Zig - the concerns of writing (and especially optimizing) these programs are significantly different from high-performance CPU execution.
Mojo, for instance, has seemed to solve this problem (presumably: I haven’t studied the compiler myself, but this is a claim of theirs) but the community has implied that solving this problem required semantic and compiler design decisions different from the Zig compiler, especially around memory spaces, pointers, and origins.
Further: if you open up a modern tensor / GPU compiler (Triton, XLA, logical / scheduled kernel systems like Halide or Exo, or low-level kernel compilers like Mojo) — the optimizations and analyses which are performed on GPU kernel code are significantly different than CPU code
Is the end goal to write such a pipeline into the Zig compiler?
It seems possible to do this - but I’m not sure … it seems a bit hacky, or like one has to coerce existing Zig semantics to be repurposed for a job it was not designed for in the first place?
One alternative might be to use comptime to expose a kernel builder DSL, followed by a GPU compiler pipeline implemented in Zig (a completely separate compiler). This seems straightforward and allows you to implement and gain access to the specialized semantics / optimizations that you’d need for high-performance kernels?
I could absolutely be wrong, interested in thoughts.
flohofwoe 25 minutes ago [-]
Zig's SPIRV support is on the same abstraction level as GPU shading languages (GLSL, MSL, HLSL, WGSL, ...), there's nothing particularly "magic" about turning Zig code into a sequence of SPIRV instructions as opposed to x86 or ARM instructions. You basically describe what code should run 'per vertex', 'per pixel' or 'per compute invocation' on the GPU in the traditional imperative way, and the 'shape' of shader function inputs and outputs.
Zig's compilation output is then a traditional SPIRV blob which can be passed into a 3D API like Vulkan, or any other tool or API which accepts SPIRV bytecode, e.g. there is no magic integration with CPU-side code in the Zig toolchain (AFAIK).
SPIRV's specification basically defines what features Zig needs to expose as specialized builtins (e.g. things like `@SpirvType(.sampler);` or `@SpirvType(.{ .image = .{...` or `@extern(*addrspace(.constant)` map directly to SPIRV concepts (the same concepts that dedicated shading languages had to add on top of C or C++).
Zig's SPIRV support is specifically *not* concerned about how the SPIRV blob will be 'uploaded', 'started' and 'scheduled' on the GPU, e.g. it's not an all-in-one solution like CUDA (not yet anyway, don't know if that's the plan).
Gerharddc 4 days ago [-]
Really cool to see work progressing on this! It would be awesome to one day be able to use Zig for serious shader work
sylware 46 minutes ago [-]
LLVM? Ok it is over. Bye.
flohofwoe 18 minutes ago [-]
What's that even supposed to mean?
LLVM isn't mentioned once in the post, instead it's about updates to Zig's "inhouse" SPIRV backend, not the LLVM SPIRV backend.
Side question as I am following zig only losely and do Go Programming:
Zig has the feature that you can drop in your allocator from the caller. Now with 0.16 you also "bring your own IO" implementation with you.
And for my understanding this looks like the pattern Go uses with its Context package, where you pass in transitive data, cancellation signals and timers to for example stop an SQL query in server B, since a user canceled a web request in their browser before hitting server A, whilst all elements delegate the Context.
Then yesterday was total unrelated article about NUMA architecture, and I remember somewhere that the creator of Erlang mentioned (Joe Armstrong) that you cannot get around physics and it takes time to call a function between servers, therefore so not try to hide the latency between the calls.
And now to my question:
Would that in any way make sense for zig to go even more in this direction, where you pass in your allocator, IO, but now with something similar to Google Go context, but have it even more fine grained?
So that your functions could actually in their interface expose somehow the time in between CPU cores (NUMA) up to the request cancellation as Google go context is used for timeout signals, cancellation signals.
Also probably making time an external dependency as well.
So in essence , every function would be treated as a remote procedure calls, whereas remote would mean: "other cpu", other server/service
noelwelsh 3 hours ago [-]
What Zig is doing is called "capability passing". I don't know if the Zig team is aware of this field of work, or have independently arrived upon it, but that's what is achieved by passing IO, memory allocators, and other stuff around.
The core idea is that you create a "capability" for any action you want to track, such as using IO, allocating memory, or in your example making cross core or cross server calls. Now to perform these actions code has to have access to the capability. It's a very simple, but powerful, model.
The Effekt language formalizes this, and adds safety properties: https://effekt-lang.org/ Scala 3 also has this.
The papers are pretty readable, if you ignore the middle bits which go into the formal models.
epolanski 2 hours ago [-]
That looks like a convoluted way to describe dependency injection to me, what am I missing.
noelwelsh 2 hours ago [-]
You're right, they are related. One difference is simply lineage. Capabilities come out of the erights / security world (e.g. [0]), while dependency injection comes from the XP / agile / Martin Fowler world. More interesting is that to do capabilities correctly you need some type system extensions, namely capture checking. Essentially, this means you delimit where a program can hold a reference to a value derived from a capability. So if you have a function that allocates memory, you can say "there are no references to any allocated memory outside this function call" and hence no use-after-free bugs. It gives a form of resource management that is simpler than Rust's lifetimes. See [1] and [2]. (Technically it's a modal type system versus Rust's substructural type system.) To my mind it's an obvious thing for Zig to add.
Shameless plug. If you're interested in more on this, for a programmer's rather than academic perspective, this is going into my book [3]. I'm writing the chapter of capability passing right now.
So it's essentially low level dependency injection where it's not just about the interface but the system and it's resources too, right?
I will take a look at your content, these topics interest me a lot.
dnautics 7 hours ago [-]
not really sure what you're asking. but time is now part of the io interface, so you can pretty easily write your own io implementation that just stubs out to the stdlib's default io content and has custom time functions if you want to try something funky. This is pretty close to what you are asking for (and in terms of functionality, equivalent). I say go for it and see what happens, report back!
weitzj 3 hours ago [-]
Thank you for your response. So time as you mentioned can be made explicit.
I am probably looking for something like the request context with timers and cancellation signals propagating through the call chain like in gRPC but more fine granular.
So you could implement arbitrary response times of functions. So you could say like:
This whole request must finish in 5 seconds, otherwise abort.
And these 5 seconds can be made very low so that you reach latency of NUMA vs Single CPU.
I don't know how you call this, maybe "latency budget"
I really love everything about zig except the language itself. The governance, the culture, all of it seem really cool, but reading https://ziglang.org/learn/why_zig_rust_d_cpp/ I still don't get _why_ I would use it. To an untrained eye, it seems like go, but with manual allocation. Or an imperative-only rust. Like it has some features of all the languages it competes with, but not the ones that would make me reach for them.
What do people use zig for, and why zig and not one of the others?
audunw 5 hours ago [-]
I really think the best way to describe it is an attempt to replace C.
Go is only like C in that it's simple. But it's clearly not a direct C replacement. It's not a great language for writing an OS or embedded code.
Rust may replace C in many contexts, but Rust is much more like C++. It adds a lot of complexity to the language and the compiler. I think it does it in a much better way than C++ so I think it is more likely to replace C in certain contexts where C++ did not replace C.
But Zig really is a much more direct replacement for C. It's aiming at the same niche, but in a different way. And considering how much C still dominates systems programming, it should be pretty clear that if Zig succeeds in become a good replacement, the answer to your question is: you'd reach for it whenever you'd have reached for C before.
The only question at this time is if Rust will eat so much into that niche that what's left for Zig becomes too small. Though it could go the other way. Zig is simpler and easier, and you can iterate really quickly with it. There's even incremental compilation now. I suspect tests with debug allocators, the integrated fuzzing, static analysis and LLM assisted reviews, can make Zig just as safe as Rust in practice, with far less complexity. So maybe Zig will eat into Rusts niche (whenever Zig is mature, right now it's going the other way as seen with Bun)
geokon 4 hours ago [-]
I think there are very few places where C makes sense and C++ doesn't. Its mostly legacy things like the Linux Kernel, or more aesthetic projects like demoscene or suckless. Where its easier to agree to write C instead of trying to agree on what subset of C++ to use (even then its usually C with a mishmash of C++ ergonomics)
That said, leafing through the first chapters of "Expert C Programming" should dissuade anyone of the idea that C is a simple language. It'll leave you amazed anyone's been able to write working programs in it
lelanthran 4 hours ago [-]
> That said, leafing through the first chapters of "Expert C Programming" should dissuade anyone of the idea that C is a simple language. It'll leave you amazed anyone's been able to write working programs in it
What footguns are present in C bit not in C++?
C++ has all the footguns from C and adds multiple more. C++ is not a replacement for C, in the same way that a spacecraft is not a replacement for a Cessna.
geokon 4 hours ago [-]
"Correct" modern C++ eliminates whole classes of problems. You can of course still write C code, but no one would merge that in to their codebase
Theyre both complicated languages in their own way :)
lelanthran 3 hours ago [-]
> "Correct" modern C++ eliminates whole classes of problems. You can of course still write C code, but no one would merge that in to their codebase
That requires the programmer to practice discipline. If someone needs something better than C, there's alternatives to C++ that don't require "Programmer needs to be disciplined".
> Theyre both complicated languages in their own way :)
No. C++ is, without doubt, the most complicated language there is. Nothing else, not Java, C#, Rust, etc comes even close.
C, OTOH, is simple enough that implementing it is practical even for students. The number of footguns are a handful.
They are severe, but not numerous. C++ has both numerous and severe footguns.
pjmlp 4 hours ago [-]
Unfortunately plenty of folks do merge it into their codebases, including at companies that seat on WG 21, easily found on their Github projects.
pjmlp 4 hours ago [-]
Zig feels like Modula-2 or Object Pascal had been redone with a C like syntax, so an improvement over C with features available in other programming languages since 1978, however it still has some of the flaws like use after free, and the solution is the same as C has been using for decades, debug allocators.
ksec 3 hours ago [-]
Similar thoughts as well. But also want to add Rust being a complex language is now greatly helped by AI as well.
I think there still a long way to go before the final version of Zig. I am increasingly thinking 0.17 and 0.18 won't even be close to RC. But I really like the direction that Zig is solving a lot of problems not with language features but with its tool chains. Something I thought was obvious and should have been what it is in the first place. Instead we go increasingly big and complex language.
dnautics 7 hours ago [-]
> What do people use zig for, and why zig and not one of the others?
I'm the maintainer of zigler (https://zigler.hexdocs.pm/Zig.html), and I have my own pharma startup. I currently use zig in two contexts:
1) wraps a proprietary .so file that is used to communicate with a scientific (microscope) digital camera, in a nice BEAM-module-shaped interface. Sorry, code is private.
2) I have a vue.js component that does DNA editing, and one of the features is DNA sequence alignment, and so I had claude write the smith-waterman lalign algorithm in zig, and it compiles to wasm, and this plus going from O(N^2) to O(N) dropped the runtime of an alignment from 30s to a few hundred ms, in both cases so much better than ~5m using a web SAAS, good enough that I can render alignments on-demand, and I don't have to do a storage layer for alignments.
Two sequences may be aligned by right-clicking a sequence name when a sequence is loaded, it will align the two sequences (you'll have to create a second sequence as it forbids aligning a sequence with itself).
Why zig? Because it just makes things like cross-compilation easier (microscope is mounted on a elixir nerves deployment!), and has less footguns, and doesn't hide away things you might care about. Most of the things i build with zig don't really have a concern about memory safety, or have such trivial memory patterns that it's easy to verify by eye that they're memory safe.
auraham 6 hours ago [-]
Can you give more details about using zig along with elixir?
> microscope is mounted on a elixir nerves deployment!
What do you mean? I imagine that there is an Elixir application running on an embedded system and maybe it relies on an external binary application (compiled using zig). If so, how do you manage the communication between them?
Zambyte 38 minutes ago [-]
> To an untrained eye, it seems like go, but with manual allocation.
I've written a decent amount of Zig, Go, and C, and I often describe Zig as in between Go and C. So your untrained eye seems pretty accurate. Maybe it's just not the tool you need, and that's fine! I could get excited about a new tractor that is well built and leans heavily into right to repair activism, but I live in a city and wouldn't use it.
auraham 6 hours ago [-]
I have the same feeling about Zig. In this interview [1], Andrew Kelley, creator of Zig, explains a lot of the features of the language; compares it against c, rust, go; and explains why he created the language. According to him, the killer feature of zig is the tool chain (compiler, linker, build system) since it has no dependencies. So, it will work in any OS/target you choose.
It is a really interesting interview. However, Zig code is a bit hard for me to read.
I’m writing a game engine in Zig and after tens of thousands of lines written, I have to say my mind has totally melded to the language. It really hits a sweet spot for me between being expressive enough, and there only being one way to do something most of the time.
austin-schick 7 hours ago [-]
I think this blog post has a great description of the "Modern C" niche Zig fills: https://vfoley.xyz/hare/. I tend to think of Zig in this way. If you found yourself reaching for C, you could instead reach for Zig. You'd get optionals instead of null pointers, comptime instead of macros, a real facility for handling errors, etc. It's like C but with some of the sharp edges sanded off.
Cloudef 4 days ago [-]
Try reading zig code. For me its much more readable than the other languages, and does not suffer the fact go doesnt have language level errors. Local allocators are very useful and if you dont think so, perhaps you havent dwelved too deeply into systems programming or the language isnt targeted for you.
coxmi 4 hours ago [-]
The dot syntax used everywhere really confuses me. I get its use in struct fields, or for defining anonymous structs, but what is this one for? (Some kind of module-level enum space, where .sampler and .unknown are defined previously?)
Everything else about zig is quite readable, but this gets me every time. Maybe I'm being dumb though.
thrwyexecbrain 3 hours ago [-]
"Dot" in zig is a placeholder for types that can be unambigously inferred from the surrounding expression.
So ".unknown" is a standin for "SomeEnum.unknown" or "SomeStruct.unknown", depending on what .format is.
coxmi 3 hours ago [-]
Yeah, after looking it up, it looks like it is basically only used as either field access or an 'infer operator', is that right?
I thought it was used in four completely separate ways:
· normal struct field access
· anonymous struct definition
· field definition within structs (for reasons to do with the parser)
· an extra 'infer operator' for syntactic sugar
But there's no support for anonymous structs/fields, and all structs and fields require a type somewhere for it to be inferred. Which is why this is invalid zig:
const test = .{ .x = 0, .y = 1 };
(It would need the type to be specified in the called function definition, or inline when assigning)
Correct me if I'm wrong here! (And thank you)
laszlojamf 4 days ago [-]
I get the usefulness of allocators, I just don't see them as useful enough where I'd pick zig over another established systems programming language. Do you have an example?
chaz72 4 days ago [-]
I think Zig would do better than Go at things like kernels, drivers, game engines, lower level sorts of things. Edited to add the obvious: SPIR-V, for instance.
Of course there’s lots of programming that can afford to pay for GC side effects, if there weren’t we wouldn’t have invented GC, but it’s a little less universal, a little less ‘system’.
For me, I came to Zig after horrible cross-platform experiences led me to try going all the way back to C and I found that I was spending way too much time learning to deal with accidental complexity instead of essential complexity. (Respect to the C masters but I failed to adapt.)
dnautics 8 hours ago [-]
a lot of heavy duty systems have multiple allocator systems. the erlang virtual machine has 12:
since zig anoints an allocator interface in its stdlib, your (and the stdlib's) data structures which use allocators can be trivially reused across different allocation strategies without rewriting code; and very likely (not guaranteed ofc) if you bring in someone else's code they will cleave to convention.
nesarkvechnep 7 hours ago [-]
Just yesterday I was thinking about the BEAM and would it be tidier if it were written in Zig.
7 hours ago [-]
lelanthran 4 hours ago [-]
If you want something better than C you aren't going to reach for Go (GC) or Rust (complexity).
Zig looks like a good middle ground.
epolanski 2 hours ago [-]
Same as Odin or C3.
nnevatie 7 hours ago [-]
> why zig and not one of the others?
I think one of the selling points is that the language does not come to your way and allows unsafe constructs. So, I think the target audience is roughly at C and C++ users.
applfanboysbgon 7 hours ago [-]
C is over 50 years old, but it is still more or less the lingua franca of computing. The world benefits from having "C with some improvements from 50 years of learning". The world also benefits from having featureful languages that are a huge divergence from C, but it also just needs a language that provides a thin cross-hardware abstraction over the asm layer and some conveniences over writing raw asm. We don't need every language to be massively featureful, and we hopefully won't all have to reach for C for the rest of human civilization when we need a language that isn't massively featureful.
pjmlp 3 hours ago [-]
Those improvements were already available in languages that predated C, but were seen as programming with straightjacket from UNIX crowds.
Note that even C creators proposed changes to WG 14 (not accepted), and later on moved on with their own approaches with Alef, Limbo and finally Go.
epolanski 2 hours ago [-]
The problem with this is imho that for a C replacement it doesn't offer enough to C programmers to switch.
If you're comfortable with C you will stick with C and benefit from it being the lingua franca, and not struggle to find support or talent.
This is true both at work or OS.
As a very talented C dev told me, I can see the point or go or Rust that would solve some of my issues, Zig while being an improvement doesn't solve any of my real pain points.
Assuming the goal is to be able to write compute kernels and shaders in Zig - the concerns of writing (and especially optimizing) these programs are significantly different from high-performance CPU execution.
Mojo, for instance, has seemed to solve this problem (presumably: I haven’t studied the compiler myself, but this is a claim of theirs) but the community has implied that solving this problem required semantic and compiler design decisions different from the Zig compiler, especially around memory spaces, pointers, and origins.
Further: if you open up a modern tensor / GPU compiler (Triton, XLA, logical / scheduled kernel systems like Halide or Exo, or low-level kernel compilers like Mojo) — the optimizations and analyses which are performed on GPU kernel code are significantly different than CPU code
Is the end goal to write such a pipeline into the Zig compiler?
It seems possible to do this - but I’m not sure … it seems a bit hacky, or like one has to coerce existing Zig semantics to be repurposed for a job it was not designed for in the first place?
One alternative might be to use comptime to expose a kernel builder DSL, followed by a GPU compiler pipeline implemented in Zig (a completely separate compiler). This seems straightforward and allows you to implement and gain access to the specialized semantics / optimizations that you’d need for high-performance kernels?
I could absolutely be wrong, interested in thoughts.
Zig's compilation output is then a traditional SPIRV blob which can be passed into a 3D API like Vulkan, or any other tool or API which accepts SPIRV bytecode, e.g. there is no magic integration with CPU-side code in the Zig toolchain (AFAIK).
SPIRV's specification basically defines what features Zig needs to expose as specialized builtins (e.g. things like `@SpirvType(.sampler);` or `@SpirvType(.{ .image = .{...` or `@extern(*addrspace(.constant)` map directly to SPIRV concepts (the same concepts that dedicated shading languages had to add on top of C or C++).
Zig's SPIRV support is specifically *not* concerned about how the SPIRV blob will be 'uploaded', 'started' and 'scheduled' on the GPU, e.g. it's not an all-in-one solution like CUDA (not yet anyway, don't know if that's the plan).
LLVM isn't mentioned once in the post, instead it's about updates to Zig's "inhouse" SPIRV backend, not the LLVM SPIRV backend.
Zig has the feature that you can drop in your allocator from the caller. Now with 0.16 you also "bring your own IO" implementation with you.
And for my understanding this looks like the pattern Go uses with its Context package, where you pass in transitive data, cancellation signals and timers to for example stop an SQL query in server B, since a user canceled a web request in their browser before hitting server A, whilst all elements delegate the Context.
Then yesterday was total unrelated article about NUMA architecture, and I remember somewhere that the creator of Erlang mentioned (Joe Armstrong) that you cannot get around physics and it takes time to call a function between servers, therefore so not try to hide the latency between the calls.
And now to my question:
Would that in any way make sense for zig to go even more in this direction, where you pass in your allocator, IO, but now with something similar to Google Go context, but have it even more fine grained?
So that your functions could actually in their interface expose somehow the time in between CPU cores (NUMA) up to the request cancellation as Google go context is used for timeout signals, cancellation signals.
Also probably making time an external dependency as well.
So in essence , every function would be treated as a remote procedure calls, whereas remote would mean: "other cpu", other server/service
The core idea is that you create a "capability" for any action you want to track, such as using IO, allocating memory, or in your example making cross core or cross server calls. Now to perform these actions code has to have access to the capability. It's a very simple, but powerful, model.
The Effekt language formalizes this, and adds safety properties: https://effekt-lang.org/ Scala 3 also has this.
The papers are pretty readable, if you ignore the middle bits which go into the formal models.
Shameless plug. If you're interested in more on this, for a programmer's rather than academic perspective, this is going into my book [3]. I'm writing the chapter of capability passing right now.
Back to writing!
[0]: https://blog.acolyer.org/2016/02/16/capability-myths-demolis...
[1]: https://effekt-lang.org/tour/captures
[2]: https://docs.scala-lang.org/scala3/reference/experimental/cc...
[3]: https://functionalprogrammingstrategies.com/
I will take a look at your content, these topics interest me a lot.
I am probably looking for something like the request context with timers and cancellation signals propagating through the call chain like in gRPC but more fine granular.
So you could implement arbitrary response times of functions. So you could say like:
This whole request must finish in 5 seconds, otherwise abort.
And these 5 seconds can be made very low so that you reach latency of NUMA vs Single CPU.
I don't know how you call this, maybe "latency budget"
Go is only like C in that it's simple. But it's clearly not a direct C replacement. It's not a great language for writing an OS or embedded code.
Rust may replace C in many contexts, but Rust is much more like C++. It adds a lot of complexity to the language and the compiler. I think it does it in a much better way than C++ so I think it is more likely to replace C in certain contexts where C++ did not replace C.
But Zig really is a much more direct replacement for C. It's aiming at the same niche, but in a different way. And considering how much C still dominates systems programming, it should be pretty clear that if Zig succeeds in become a good replacement, the answer to your question is: you'd reach for it whenever you'd have reached for C before.
The only question at this time is if Rust will eat so much into that niche that what's left for Zig becomes too small. Though it could go the other way. Zig is simpler and easier, and you can iterate really quickly with it. There's even incremental compilation now. I suspect tests with debug allocators, the integrated fuzzing, static analysis and LLM assisted reviews, can make Zig just as safe as Rust in practice, with far less complexity. So maybe Zig will eat into Rusts niche (whenever Zig is mature, right now it's going the other way as seen with Bun)
That said, leafing through the first chapters of "Expert C Programming" should dissuade anyone of the idea that C is a simple language. It'll leave you amazed anyone's been able to write working programs in it
What footguns are present in C bit not in C++?
C++ has all the footguns from C and adds multiple more. C++ is not a replacement for C, in the same way that a spacecraft is not a replacement for a Cessna.
Theyre both complicated languages in their own way :)
That requires the programmer to practice discipline. If someone needs something better than C, there's alternatives to C++ that don't require "Programmer needs to be disciplined".
> Theyre both complicated languages in their own way :)
No. C++ is, without doubt, the most complicated language there is. Nothing else, not Java, C#, Rust, etc comes even close.
C, OTOH, is simple enough that implementing it is practical even for students. The number of footguns are a handful.
They are severe, but not numerous. C++ has both numerous and severe footguns.
I think there still a long way to go before the final version of Zig. I am increasingly thinking 0.17 and 0.18 won't even be close to RC. But I really like the direction that Zig is solving a lot of problems not with language features but with its tool chains. Something I thought was obvious and should have been what it is in the first place. Instead we go increasingly big and complex language.
I'm the maintainer of zigler (https://zigler.hexdocs.pm/Zig.html), and I have my own pharma startup. I currently use zig in two contexts:
1) wraps a proprietary .so file that is used to communicate with a scientific (microscope) digital camera, in a nice BEAM-module-shaped interface. Sorry, code is private.
2) I have a vue.js component that does DNA editing, and one of the features is DNA sequence alignment, and so I had claude write the smith-waterman lalign algorithm in zig, and it compiles to wasm, and this plus going from O(N^2) to O(N) dropped the runtime of an alignment from 30s to a few hundred ms, in both cases so much better than ~5m using a web SAAS, good enough that I can render alignments on-demand, and I don't have to do a storage layer for alignments.
https://github.com/Vidala-Labs/opengenepool/tree/master/src/...
you can play with it at:
https://opengenepool.vidalalabs.com
Two sequences may be aligned by right-clicking a sequence name when a sequence is loaded, it will align the two sequences (you'll have to create a second sequence as it forbids aligning a sequence with itself).
Why zig? Because it just makes things like cross-compilation easier (microscope is mounted on a elixir nerves deployment!), and has less footguns, and doesn't hide away things you might care about. Most of the things i build with zig don't really have a concern about memory safety, or have such trivial memory patterns that it's easy to verify by eye that they're memory safe.
> microscope is mounted on a elixir nerves deployment!
What do you mean? I imagine that there is an Elixir application running on an embedded system and maybe it relies on an external binary application (compiled using zig). If so, how do you manage the communication between them?
I've written a decent amount of Zig, Go, and C, and I often describe Zig as in between Go and C. So your untrained eye seems pretty accurate. Maybe it's just not the tool you need, and that's fine! I could get excited about a new tractor that is well built and leans heavily into right to repair activism, but I live in a city and wouldn't use it.
It is a really interesting interview. However, Zig code is a bit hard for me to read.
[1] https://www.youtube.com/watch?v=iqddnwKF8HQ&t=10s
So ".unknown" is a standin for "SomeEnum.unknown" or "SomeStruct.unknown", depending on what .format is.
I thought it was used in four completely separate ways:
· normal struct field access
· anonymous struct definition
· field definition within structs (for reasons to do with the parser)
· an extra 'infer operator' for syntactic sugar
But there's no support for anonymous structs/fields, and all structs and fields require a type somewhere for it to be inferred. Which is why this is invalid zig:
(It would need the type to be specified in the called function definition, or inline when assigning)Correct me if I'm wrong here! (And thank you)
Of course there’s lots of programming that can afford to pay for GC side effects, if there weren’t we wouldn’t have invented GC, but it’s a little less universal, a little less ‘system’.
For me, I came to Zig after horrible cross-platform experiences led me to try going all the way back to C and I found that I was spending way too much time learning to deal with accidental complexity instead of essential complexity. (Respect to the C masters but I failed to adapt.)
https://www.erlang.org/docs/25/man/erts_alloc.html
jvm has at least 5:
https://github.com/openjdk/jdk/blob/master/src/hotspot/share...
postgres has at least 8:
https://github.com/postgres/postgres/blob/master/src/backend...
since zig anoints an allocator interface in its stdlib, your (and the stdlib's) data structures which use allocators can be trivially reused across different allocation strategies without rewriting code; and very likely (not guaranteed ofc) if you bring in someone else's code they will cleave to convention.
Zig looks like a good middle ground.
I think one of the selling points is that the language does not come to your way and allows unsafe constructs. So, I think the target audience is roughly at C and C++ users.
Note that even C creators proposed changes to WG 14 (not accepted), and later on moved on with their own approaches with Alef, Limbo and finally Go.
If you're comfortable with C you will stick with C and benefit from it being the lingua franca, and not struggle to find support or talent.
This is true both at work or OS.
As a very talented C dev told me, I can see the point or go or Rust that would solve some of my issues, Zig while being an improvement doesn't solve any of my real pain points.