axiom-zig VS rust

Nim is also a strong player as a systems programming language. In terms of memory management, it's configurable, and by default you get ARC (no GC). I've written a hobby kernel (if you can call it that) in Nim[1] as well as Zig[2], and I found Nim to be much more ergonomic and approachable. The fact that Zig requires weaving an allocator through most calls that may allocate gets in the way of what I'm trying to do. I'd rather focus on core logic and have ref counting take care of dropping memory when appropriate.

One thing I wish Nim had though is true sum types with payloads. I think there's an RFC for that, but it's a shame it's not in the language yet.

[1] https://github.com/khaledh/axiom

[2] https://github.com/khaledh/axiom-zig

If anyone is interested, I have a couple of implementations of booting under UEFI and getting a bunch of info about the system (don't expect a functioning system, they just boot and dump some info):

Nim: https://github.com/khaledh/axiom

Zig: https://github.com/khaledh/axiom-zig (this one goes into depth in disassembling ACPI DSDT bytecode)

Rust

It seems to be more fussy about compiler optimizations, though: https://github.com/rust-lang/rust/issues/125543

apimock-rs is one of my projects on API mock Server generating HTTP/JSON responses to help to develop microservices and APIs, written in Rust.

Rust, the language itself depends on 220 packages: https://github.com/rust-lang/rust/blob/e8753914580fb42554a79...

If you trust nobody, it is hard to use anything.

But about your second note, (environment, mismatched dependencies), I would argue that Rust provides the best tooling to solve or identify issues on that area.

rustc source code

First look is into The Unstable Book. Well, it does not look informative but gives us some background from the rust-lang Github project-const-generics. It says:

Rust has been around for several years and works well as a system and general programming language. There are many fine introductions to the language, a good place to start is here: https://www.rust-lang.org/

‍For the rest of this post I’ll list off some more tactical examples of things that you can do towards this goal. Savvy readers will note that these are not novel ideas of my own, and in fact a lot of the things on this list are popular core features in modern languages such as Kotlin, Rust, and Clojure. Kotlin, in particular, has done an amazing job of emphasizing these best practices while still being an extremely practical and approachable language.

> There are online Rust compilers and interpreters already if you just want to rapid prototype and develop ideas in Rust

You are responding to one of the key developers of Rust early on[1], who's been working with the language for 14 years at that point.

[1] https://github.com/rust-lang/rust/graphs/contributors?from=2... and he's still #16 in commits overall today, despite almost no activity on the rust compiler since 2014.

If you haven't dipped your touch-typing fingers into Rust yet, you really owe it to yourself. Rust is a modern programming language with features that make it suitable not only for systems programming -- its original purpose, but just about any other environment, too; there are frameworks that let your build web services, web applications including user interfaces, software for embedded devices, machine learning solutions, and of course, command-line tools. Since a custom GitHub Action is essentially a command-line tool that interacts with the system through files and environment variables, Rust is perfectly suited for that as well.