also you could have affine types without RAII. without macros, etc. etc.
theres a very wide space of options that are theoretically equivalent to what rust does that are worth exploring for devex reasons.
also you could have affine types without RAII. without macros, etc. etc.
theres a very wide space of options that are theoretically equivalent to what rust does that are worth exploring for devex reasons.
or a hpc workload for a physic simulation that gets run once on 400,000 cores, and if it doesnt crash on your test run it probably won't at scale.
if youre writing an OS, you will turn it on. in fact, even rust ecosystem suggests this as a strategy, for example, with MIRI.
I wouldn't argue that Rust is a good replacement for Makefiles, shell build scripts, Python scripts...
An amazing thing about Rust, though, is that you actually can write many "quick programs" -- application level programs -- and it's a reasonably good experience.
of course not, for kernel development. and in those cases, you WILL statically analyze.
Type systems are a form of static analysis tool, that is true; and in principle, they could be substituted by other such tools. Python has MyPy, for example, which provides a static analysis layer. Coverity has long been used on C and C++ projects. However, such tools can not "get out of the way of routine development" -- if they are going to check correctness of the program, they have to check the program; and routine development has to respond to those checks. Otherwise, how do you know, from commit to commit, that the code is sound?
The alternative is, as other posters have noted, that people don't run the static analysis tool; or run it rarely; both are antipatterns that create more problems relative to an incremental, granular approach to correctness.
Regarding macros and many other ergonomic features of Rust, those are orthogonal to affine types, that is true; but to the best of my knowledge, Rust is the only language with tightly integrated affine types that is also moderately widely used, moderately productive, has a reasonable build system, package infrastructure and documentation story.
So when you say "theres a very wide space of options that are theoretically equivalent to what rust does that are worth exploring for devex reasons.", what are those? And how theoretical are they?
It's probably true, for example, that dependently typed languages could be even better from a static safety standpoint; but it's not clear that we can tell a credible story of improving memory safety in the kernel (or mail servers, database servers, or other large projects) with those languages this year or next year or even five years from now. It is also hard to say what the "devex" story will be, because there is comparatively little to say about the ecosystem for such nascent technologies.
> how do you know, from commit to commit, that the code is sound?
these days its easy to turn full checks on every commit in origin; a pull request can in principle be rejected if any commit fails a test, and rewriting git history by squashing (annoying but not impossible) can get you past that if an intermediate failed.
It seems like, at least part of the time, you're discussing distinct use cases -- for example, the quick scripts you mention (https://news.ycombinator.com/item?id=43132877) -- some of which don't require the same level of attention as systems programming.
At other times, it seems like you're arguing it would be easier to develop a verified system if you only had to run the equivalent of Rust's borrow checker once in awhile -- on push or on release -- but given that all the code will eventually have to pass that bar, what are you gaining by delaying the check?
And remember that your gripes with Rust aren't everyone's gripes. Some of the things you hate about Rust can be things that other people love about Rust.
To me, I want all that stuff in the compiler. I don't want to have to run extra linters and validators and other crap to ensure I've done the right thing. I've found myself so much more productive in languages where the compiler succeeding means that everything that can (reasonably) be done to ensure correctness according to that language's guarantees has been checked and has passed.
Put another way, if lifetime checking was an external tool, and rustc would happily output binaries that violate lifetime rules, then you could not actually say that Rust is a memory-safe language. "Memory-safe if I do all this other stuff after the compiler tells me it's ok" is not memory-safe.
But sure, maybe you aren't persuaded by what I've said above. So what? Neither of us are Linux kernel maintainers, and what we think about this doesn't matter.
what you really should care about is: is your code memory safe, not is your language memory safe.
and this is what is so annoying about rust evangelists. To rust evangelists it's not about the code being memory safe (for example you bet your ass SEL4 is memory safe, even if the code is in C)
and also seL4 is about 10k lines of code, designed around verification, sequential, and already a landmark achievement of verification. linux is like 3 orders of magnitude more code, not designed around verification, and concurrent.