intellij-plugins VS rust

For these demonstrations, I'm using IntelliJ IDEA, equipped with the Kotlin Notebook plugin and all necessary dependencies. If you’d like to follow along step-by-step, I recommend setting up your environment similarly. Here is a short installation guide.

Android Studio or IntellijIDEA (configured for Android development) installed and working in your machine.

If you are using an Integrated Development Environment (IDE) like IntelliJ IDEA or Eclipse, you can set environment variables in the configuration settings of your application.

Being somewhat allergic to coding in Java (this is a personal thing, if you like Java then good for you) I decided to try out writing the code using Kotlin from JetBrains instead. I'm already using IntelliJ as I work with Apache Spark using Scala, so the tooling was already there and ready to go for this.

IntelliJ (look for the community edition) on the other hand offered great out-of-box Groovy support including IntelliSence, building, and running features. So, I sticked with it 😊

I readily admit I am not familiar enough with fossil to know about the impedance mismatch, but I'll point out that https://github.com/JetBrains/intellij-plugins/tree/idea/241.... https://github.com/JetBrains/intellij-community/tree/idea/24... https://github.com/JetBrains/intellij-community/tree/idea/24... https://github.com/JetBrains/intellij-community/tree/idea/24... may a long way toward finding how they think about those operations

jetbrains.com — Productivity tools, IDEs and deploy tools (aka IntelliJ IDEA, PyCharm, etc). Free license for students, teachers, Open Source and user groups.

I've always used IntelliJ IDEA, other IDEs start feeling useless once you go down the Jetbrains path 😅

I offer, again, my JetBrains GrammarKit counterpoint from the last time that assertion came up <https://news.ycombinator.com/item?id=38192427>

>>>

I consider the JetBrains parsing system to be world class and they seem to hand-write very few (instead building on this system: https://github.com/JetBrains/Grammar-Kit#readme )

- https://github.com/JetBrains/intellij-community/blob/idea/23... (the parser I'll concede, as they do seem to be hand-rolling that part)

- https://github.com/JetBrains/intellij-community/blob/idea/23... (same for its parser)

- https://github.com/JetBrains/intellij-community/blob/idea/23... and https://github.com/JetBrains/intellij-community/blob/idea/23...

- https://github.com/JetBrains/intellij-plugins/blob/idea/233.... and https://github.com/JetBrains/intellij-plugins/blob/idea/233....

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.