zf VS rust

You can absolutely make CLI tools, but be prepared for breaking changes in the language with every release. I've been working on a fuzzy finder zf for a couple of years now, and with each Zig release there are a few things to fix. It's not a ton of work, but it is something to be aware of.

I’ve absolutely had satisfaction with my several personal projects written in Zig. And based on an imperfect measurement (GitHub stars) I have also had moderate success in making something useful. It’s a terminal fuzzy finder [0]. I also maintain a Zig Lua bindings package [1], and I’m working on a port of an old Macintosh game [2].

Zig is exactly what I want out of a language though, so take my opinion with a grain of salt :)

[0]: https://github.com/natecraddock/zf

[1]: https://github.com/natecraddock/ziglua

[2]: https://github.com/natecraddock/open-reckless-drivin

This looks awesome! As someone who is already pretty invested in trouble.nvim and native integrations with Telescope and GitSigns (to name just two), what do you feel are the selling points? I wonder how you see integrations evolving too? In example, I use zf via telescope-zf-native.nvim over fzf and have had to do little to let other plugins fallback into that.

I have long preferred the strictness of the fzy algorithm over fzf for fuzzy finding both in my shell and in neovim. But there are things about fzy that have bothered me (like the inability to narrow down results with space-delimited query terms). So I have been working on zf and libzf (written in Zig if you care about that sort of thing) for the shell and integration with neovim.

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.

Here's an example of someone citing a disagreement between CRT and shell32:

https://github.com/rust-lang/rust/issues/44650

This in addition to the Rust CVE mentioned elsewhere in the thread which was rooted in this issue:

https://blog.rust-lang.org/2024/04/09/cve-2024-24576.html

Here are some quick programs to test contrasting approaches. I don't have examples of inputs where they parse differently on hand right now, but I know they exist. This was also a problem that was frequently discussed internally when I worked at MSFT.

    #include 

> instead of choosing a certain numbered version of the random library (if I remember correctly) I let cargo download the latest version which had a completely different API.

Yeah, they didn't follow the instructions and got burned. I still think that multiple things went wrong simultaneously for that experience. I wonder if more prevalent uses of `#[doc(alias = "name")]` being leveraged by https://github.com/rust-lang/rust/pull/120730 (which now that I check only accounts for methods and not functions, I should get on that!) so that when changing APIs around people at least get a slightly better experience.

Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325

Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.

Recently did something similar in Rust but for generating SVGs. We've adopted it for snapshot testing of cargo and rustc's output. Don't have a good PR handy for showing Github's rendering of changes in the SVG (text, side-by-side, swiping) but https://github.com/rust-lang/rust/pull/121877/files has newly added SVGs.

To see what is supported, see the screenshot in the docs: https://docs.rs/anstyle-svg/latest/anstyle_svg/

We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.

The above Assert<{N % 2 == 1}> requires #![feature(generic_const_exprs)] and the nightly toolchain. See https://github.com/rust-lang/rust/issues/76560 for more info.