rustig VS kani

There is also rustig though it seems quite dead.

There’s the rustig tool (https://github.com/Technolution/rustig) that looks for code paths leading to the panic handler. Not sure if it still works though.

That's fair. I think I may just be a bit sore that Rustig was allowed to bit-rot and findpanics hasn't seen a commit since 2020.

There's Rustig which does it for panics, though it seems unmaintained and uses inspection of the final binary rather than source code/AST inspection.

You might be interested in this: https://github.com/Technolution/rustig

> Doesnt Rust have implicit panics on indexing out of bounds?

It does yes. A fair number of other constructs can panic as well.

> I wonder if any codebases lint those away.

Clippy has a lint for indexing so probably.

For the general case, it's almost impossible unless you're working on very low-level software (embedded, probably kernel-rust eventually) e.g. `std` assumes allocations can't fail, so any allocation will show up as a panic path.

https://github.com/Technolution/rustig can actually uncover panic paths, but because of the above the results are quite noisy, and while it's possible to uncover bugs thanks to rustig it requires pretty ridiculous amounts of filtering.

This comment is strongly confused.

> [1] https://github.com/Technolution/rustig

That's a binary analysis tool. It is only approximate, and does not claim to be an accurate analysis like unsafe-checking and typechecking are:

https://github.com/Technolution/rustig#limitations

> All paths leading to panic! from one of those functions (whether actually used or not) will be reported.

It also only works on x86_64 binaries.

Panics are an ugly leftover from the bad old days before Rust had nice monad-like syntax for Result error-handling (the "?" syntax). It's time for panic to sunset.

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