Rust-for-Linux
dafny
Rust-for-Linux | dafny | |
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84 | 38 | |
4,202 | 3,116 | |
0.8% | 1.4% | |
0.0 | 9.5 | |
4 days ago | 6 days ago | |
C | C# | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Rust-for-Linux
- Rewriting Rust
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Committing to Rust in the Kernel
You're welcome.
> Any concerns of the same kind of thing?
Here's the canonical list: https://github.com/Rust-for-Linux/linux/issues/2
There's a lot, and I don't know the status of many of them, personally. But I don't see anything there that I know is not gonna work out, like for example, they aren't using specialization. Most of it feels like very nuts and bolts codegen options and similar things.
That said, back in August, the Rust Project announced their goals for the second half of this year: https://blog.rust-lang.org/2024/08/12/Project-goals.html
They say that they're committed to getting this stuff done, and in particular: https://rust-lang.github.io/rust-project-goals/2024h2/rfl_st...
> Closing these issues gets us within striking distance of being able to build the RFL codebase on stable Rust.
So, things sound good, in my mind.
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Deploying Rust in Existing Firmware Codebases
The goal of rust for linux isn't to wholesale translate linux into rust, but simply to be able to write pieces of linux (largely new ones) in rust. I think it's very unlikely anyone (including google) will take on a wholesale translation anytime soon. That said
> It's unlikely that Google has much sway here
Google has helped fund the rust for linux project pretty much from the start [1], they're one of three organizations mentioned on the homepage due to their sponorship [2]. They're actively involved in it, and have already ported their android "binder" driver into it with the intent to ship it in android. This strikes me as a very weird take.
[1] https://www.memorysafety.org/blog/supporting-miguel-ojeda-ru...
[2] https://rust-for-linux.com/
- Rust for Linux
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The Linux Kernel Prepares for Rust 1.77 Upgrade
Rust is backwards compatible when you stick to stable features, but the kernel uses unstable features that can and do incur breaking changes.
https://github.com/Rust-for-Linux/linux/issues/2
- Rust in Linux Kernel
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Mark Russinovich: “Working towards enabling Windows driver development in Rust”
> How would this work?
Don't know exactly what you're asking.
> And why would it be a better idea?
Poorly written device drivers are a significant attack vector. It's one of the reasons Linux is now exploring using Rust for its own device drivers.[0] You may be asking -- why Rust and not some other language? Rust has many of the performance and interoperability advantages of C and C++, but as noted, makes certain classes of memory safety issues impossible. Rust also has significant mindshare among systems programming communities.
[0]: https://rust-for-linux.com
- The Linux Kernel Module Programming Guide
- Teknisk karrierevej i Danmark som softwareudvikler
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The state of Flatpak security: major Projects are the worst?
Rust-for-Linux issue tracker
dafny
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Long division verified via Hoare logic
Automation of Hoare logic is quite good these days. Dafny, from MS Research (https://dafny.org), is probably the most friendly formal language. Dafny has been used to verify large systems, including many components of AWS. I am hoping that LLMs make more advanced languages, such as Liquid Haskell or Agda, much easier to write. Ideally, lots of code should be autocompleted once a human provides a type signature. The advantage of formal verification is that we are sure the generated code is correct.
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Automated reasoning and generative AI: Harness creativity with formal verifications
Modern software verification employs various approaches, each offering different trade-offs between ease of use and strength of guarantees. AWS contributes to the open source program verification tools used in the previous examples. Dafny and Kani represent two powerful approaches to program verification. Let's see how they work in practice before connecting the dots between automated reasoning and generative AI.
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Playing Chess with 84,688 Regular Expressions
On that note, I discovered Dafny[1] recently, as a more accessible way to program with proofs. There's a companion book[2] that seems very accessible and down-to-earth (and, unfortunately, quite expensive). I didn't have the time to play with it yet, but it looks like it does what Ada/SPARK does (and more), but with less verbose syntax and more options for compilation targets. It seems to be actively developed, too. Personally, I had a very hard time getting into Coq, which is a proof assistant more than a programming environment - Dafny seems much more welcoming for a "working programmer" :)
[1] https://dafny.org/
[2] https://mitpress.mit.edu/9780262546232/program-proofs
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F*: A proof oriented general purpose programming language
https://dafny.org/ also allows proof checking and allows do write real programs with it. It has a java like syntax and is also from MS I believe
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Safer with Google: Advancing Memory Safety
> I do think there's a bit of the Ignaz Semmelweis[1] issue at hand here, where developers want to believe in their inherent quality and refuse processes that improve safety if it goes against their worldview
I think the problem is that other variables (not only safety) must be assessed beyond the pure "better". Haskell is very good also. Very correct. Who uses that, and where? And why? Why not everyone uses https://dafny.org/ ?
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Verified Rust for low-level systems code
For those that are interested but perhaps not aware in this similar project, Dafny is a "verification-aware programming language" that can compile to rust: https://github.com/dafny-lang/dafny
- Dafny is a verification-aware programming language
- Candy – a minimalistic functional programming language
- Dafny – a verification-aware programming language
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Lean4 helped Terence Tao discover a small bug in his recent paper
Code correctness is a lost art. I requirement to think in abstractions is what scares a lot of devs to avoid it. The higher abstraction language (formal specs) focus on a dedicated language to describe code, whereas lower abstractions (code contracts) basically replace validation logic with a better model.
C# once had Code Contracts[1]; a simple yet powerful way to make formal specifications. The contracts was checked at compile time using the Z3 SMT solver[2]. It was unfortunately deprecated after a few years[3] and once removed from the .NET Runtime it was declared dead.
The closest thing C# now have is probably Dafny[4] while the C# dev guys still try to figure out how to implement it directly in the language[5].
[1] https://www.microsoft.com/en-us/research/project/code-contra...
[2] https://github.com/Z3Prover/z3
[3] https://github.com/microsoft/CodeContracts
[4] https://github.com/dafny-lang/dafny
[5] https://github.com/dotnet/csharplang/issues/105
What are some alternatives?
rustig - A tool to detect code paths leading to Rust's panic handler
tlaplus - TLC is a model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.
rfcs - RFCs for changes to Rust
FStar - A Proof-oriented Programming Language
gccrs - GCC Front-End for Rust
interactive - .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.