teach-rs VS kani

Rust 101 is pretty good as well. The more the merrier!

Unluckily the English version of the course used C++, only the Italian version was in Rust. However, online you can find a bunch of other valid alternatives, such as https://github.com/tweedegolf/101-rs

How cool! I'm currently running a Rust course as well. It's open source: tweedegolf/101-rs (I guess everyone thinks Rust 101 is a good name ;) ). It's currently a bit early days, but after running the course once, I'll work on making the material reusable.

As part of the Rust 101 Course that is being made to facilitate universities in teaching Rust, I am researching what would be needed to have a module that would introduce people to the basics of programming at the same time as learning Rust syntax. Rust is not a mature language when it comes to teaching it as a first language, and therefore not much material exists in this area. Therefore, I wanted to see if any people are learning / have learned Rust as their first language. Or whether there are Rustaceans coming from the high-level untyped programming world, who would like to share some experience when it comes to learning Rust.

I'm very happy to share that I've received a grant from the Rust Foundation to work on Rust 101: a modular, reusable university course introducing the Rust programming language. It's still early days, but be sure to have a look at our GitHub repo and let me know what you think!

This is also the backend for Kani - Amazon's formal verification tool for Rust.

https://github.com/model-checking/kani

Nice read! Rust has pushed, and will continue to push, the limits of practical, bare metal, memory safe languages. And it's interesting to think about what's next, maybe eventually there will be some form of practical theorem proving "for the masses". Lean 4 looks great and has potential, but it's still mostly a language for mathematicians. There has been some research on AI constructed proofs, which could be the best of both worlds because then the type checker can verify that the AI generated code/proof is indeed correct. Tools like Kani are also a step forward in program correctness.

Ease setup in Amazon Linux 2 by @adpaco-aws in #2833

Limit --exclude to workspace packages by @tautschnig in #2808

Here's a summary of what's new in version 0.38.0:

> those applications need the proof for correctness so that more dangerous code---say, what would need `unsafe` in Rust---can be safely added

There are actually already tools built for this very purpose in Rust (see Kani [1] for instance).

Formal verification has a serious scaling problem, so forming programs in such a way that there are a few performance-critical areas that use unsafe routines seems like the best route. I feel like Rust leans into this paradigm with `unsafe` blocks.

[1] - https://github.com/model-checking/kani

Enable concrete playback for failure of UB checks by @zhassan-aws in https://github.com/model-checking/kani/pull/2727

Change default solver to CaDiCaL by @celinval in https://github.com/model-checking/kani/pull/2557 By default, Kani will now run CBMC with CaDiCaL, since this solver has outperformed Minisat in most of our benchmarks. User's should still be able to select Minisat (or a different solver) either by using #[solver] harness attribute, or by passing --solver= command line option.

Add support for sysconf by feliperodri in #2557