a grand vision for rust
— 2026-03-05

1. effects
2. substructural types
3. refinement types
4. conclusion

I don’t think I’ve ever quite articulated my “grand vision” for Rust, despite having written a fair bit about the language and its features. There is a lot I could say here, but currently there are three directions of development which I find particularly interesting:

1. Improving Rust’s support for effects
2. Improving Rust’s support for substructural rules
3. Adding support for refinement types in Rust

There are more things in the language to be excited about, but these three in particular interest me. If you’ve followed my work in Rust even a little bit for the past few years, this might provide some clarity about what exactly it is I’m trying to work towards here.

Effects

Rust has support for const fn and async fn on stable Rust. And on nightly it also has support for try fn and gen fn. These are often referred to as “function colors”, but more formally they’re also known as “effect types” which are part of a broader category of programming language research called “type-and-effect systems”.

Dealing with only one or two effects is generally fine. But the more effects you add the more painful they become to work with. And from talking with people who work on compilers, operating systems, VMs, and the like I believe that Rust would benefit greatly from being able to provide more guarantees on functions including:

• Functions which guarantee they do not unwind (absence of the panic effect)
• Functions which guarantee they terminate (absence of the div effect)
• Functions which are guaranteed to be deterministic (absence of the ndet effect)
• Functions which are guaranteed to not call host APIs (absence of the io effect)

That’s a lot of kinds of functions to introduce. But for the kinds of systems that Rust wants to be used for all of these are incredibly useful. Which is why I’m interested in adding the right abstractions that allow us to introduce these kinds of functions in a way that feels good to use.

Substructural types

Rust’s claim to fame is the introduction of the borrow checker, which statically guarantees memory safety and without needing a garbage collector at runtime. In formal terms, Rust’s type system is considered affine, which means that each value must be used at most once. And “use at most once” is exactly what’s needed to guarantee the absence of bugs like “use after free”.

But there are type systems which can provide even more guarantees. One step beyond “use at most once” is “use exactly once”. Types that provide that guarantee are called “linear” and in addition to guaranteeing the absence of “use after free” they can also guarantee the absence of memory leaks.

And one step even beyond linear types are “ordered types”. These types aren’t just used exactly once, they’re used exactly once in the exact order they were introduced. What that means in practice: these are types with a stable memory address that will never be changed until they are dropped. Here they are, side-by-side:

Type	Usage	Guarantees
Affine types	at most once	No more “use after free”
Linear types	exactly once	No more memory leaks
Ordered types	exactly once, in-order	Stable memory locations

I won’t bore you with terms like “contraction” and “weakening” here. You should read the wikipedia page if you want to learn more. But specifically for Rust: this is why we’ve been working on new traits like Move and Forget:

• !Forget unlocks linear types
• !Move unlocks ordered types ¹

Refinement types

“Use after free” is more formally known as a temporal memory safety violation. Its sibling is the “out of bounds error” which is also known as a spatial memory safety violation (ref). In Rust the borrow checker can entirely statically guarantee we never run into use after free bugs. However if we want to relax those rules a little, we can opt-in to using types like Rc and Arc which check those properties at runtime instead.

When it comes to out of bounds checks things are however a little different. The default is typically to check bounds at runtime, which may sometimes be omitted by the compiler - but only as an optimization. That means we’re trading away runtime performance for memory safety.

But what if we could trade away compile time for memory safety instead? Type systems which can attach additional guarantees to existing types are called refinement type systems. And for Rust we’re experimenting with an ultra-lightweight version of this we’re calling pattern types.

Pattern types use Rust’s pattern syntax to annotate existing types. Take for example NonZeroUsize: this has historically been backed by a ton of custom compiler optimizations to enable the use of niches in layout. But with pattern types we can get those same optimizations automatically by refinining the usize type with a pattern:

type NonZeroUsize = usize is 1..;
//                        ^^^^^^ refinement using patterns

A closely related feature to pattern types are view types, which would enable the compiler to consider disjoint patterns when reasoning about aliasing (ref). These are great because they would allow holding two mutable references to the same type, as long as each reference doesn’t look at any of the other fields.

I see pattern types and view types as the way we can make Rust’s borrow checker story even better. Both by removing the fundamental tradeoff between runtime checks vs memory safety (pattern types). As well as making even more valid borrows expressible (view types).

Conclusion

There are a lot of things in Rust to be excited about. I love the work that’s happening in improving the formalisms in the language, improvements in the compiler, and in the ecosystem. And there are many more language improvements in the works which I haven’t mentioned but I’m excited for (I’m looking at you, reflection).

But me personally? I want for Rust to become the safest darn production-grade language in existence. Because though we’re not doing too bad, we’re no Ada/SPARK yet. But also: working on features like these is what I find interesting and exciting. It’s why I volunteer to work on Rust.

And while figuring out how to fundamentally improve Rust isn’t easy or quick. I believe it is definitely possible, eventually worthwhile, and in my opinion: a lot of fun!