Oh right, there are some particular things that are helpful for a deeper language understanding.

Type classes and algebraic types are for sure standout features of Rust that make it better than most languages. Much of my experience before Rust was Typescript, but I have some background in Haskell so I was fortunate to have a head start on these concepts. I haven’t done any Rust interviews - my current role switched from Haskell to Rust after I joined. So I don’t know what interviewers are asking.

None of the prior languages you listed use manual memory management (which was the same for me). And even if you have that background, Rust does some things differently. (Although from what I understand explicitly codifies a number of ideas that experienced C++ devs have in their heads as “good practice”.) I think you’ll want to study up on how memory works. One of my favorite resources for this is Logan Smith’s Youtube channel. Those videos get me thinking about how this stuff I take for granted really works. The first two Rust videos on there, Use Arc Instead of Vec and Choose the Right Option are good ones to watch. Even if you opt not to use Arc<[T]> or Box it’s useful to understand how those differ from Vec and String.

Closures are weird in Rust, and are worth understanding. You have to choose between Fn, FnMut, and FnOnce. Plus there is the move keyword. I love the post Finding Closure in Rust for explaining what’s going on there. (It takes the implement-your-own-version approach which is a genre where I’ve incidentally seen some other gems, like Implementing a simple Promise in Javascript, and The Git Parable for understanding how git really works.)

Another area that is helpful to study is Rust’s implementation of async. It is similar to async as you’ve seen it before, but also different. For example in Javascript when you call an async function like, say, fetch it dispatches network requests right away. But in Rust a Future does not do anything until you call await on it. Learning about async leads into understanding of some more general language features. At the shallower end you learn about functions that return types based on trait, like impl Future or Box> because Future types often can’t be named directly so you have to describe what trait they implement instead. (This is very similar to how you work with functions that return closures.) At the deeper end you learn about working with Pin. You can get a deep dive on that in Pin and suffering by fasterthanlime. All of that guy’s posts are useful, but they are deep plunges so it can take some motivation to read them.

Since I seem to be recommending people to learn from I’ll add Mara Bos’ blog. She’s the Rust Library team lead. Her blog gets into some of the nitty-gritty stuff that gets you thinking about the language on a deeper level. She also wrote a book recently, Rust Atomics And Locks. I haven’t read it yet, but it looks useful.

May want to look at computation, so stuff like Rayon. We almost built a compute-heavy part of our web-app in Rust (rest is in Python), and I’d guess a lot of others do the same.

I’m comfortable with debugging, but I rarely use it with Rust. With the language being so strict in everything, it’s clear most of the time what’s happening, and most situations can be resolved by simple logging of variables.

In JavaScript, I have to use the debugger all the time, since variables can get some really weird invalid values with the completely wrong type.