no. You don't need private fields. All you have to do is analyze the code, harness the compiler to generate a time-dependent data dependency graph, and map allocation/frees/uses, if you can 'color' branches where data are shared you can also track and check to see there isn't an aliasing violation too.
it is easy to patch the zig compiler to enable this this (export the code graph; about 50 LOC). The analysis is much much harder to get right.
it is possible to do in-code annotations in zig, if you're clever. you can get pretty far without them too.
as an example, you can check for double free without ownership tagging, by being agnostic about who should free, and flagging if two nondisjoint code paths attempt to free the same allocation.
It is only feasible to do this if the whole of the codebase idea designed to allow it, and it's still going to blow up in odd ways of you don't have a way to describe lifetimes in your interfaces. The magic of rust's design is that it turns this memory tracking into a local problem, such that you can design an interface and be sure that every use case is safe and verifiably so.
You may have missed the point here. You could add a comment to the struct field that marks the field as private, and build a TypeScript/JSDoc analogue that analyzes all accesses to the field and fails if it finds accesses from functions that aren't part of the struct that owns the field. You don't even need a comment on the field - you could copy Go's convention, add a comment to the struct definition marking it as "follows Go convention", and then fail any access from outside the struct to a field that starts with a lower-case character.
It doesn't prevent you from ignoring that tool and writing Zig code that imports the struct and accesses the field. It is, of course, not part of the Zig language itself. But if you adopted a tool like that, it would be your responsibility to run it across-the-board and pay attention to the results - same as how it is your responsibility to pay attention to the results if you added those JSDoc comments.
I have picked private fields as an example of feature that is needed because it is very simple. You're right that you can build an analyzer (with additional code annotations) to support that, but it's only one example.
Take another example: unsafe traits. They are fundamental to some safety encapsulations, most famously concurrency (`Send`/`Sync`). Here you cannot just build an analyzer to mark something unsafe, because Zig has no traits, its generics are duck-typed.
You can, of course, add traits. But at this point you're essentially creating your own language that compiles to Zig, with all problems this entails (e.g. bad ecosystem support). It's also hard to claim that Zig can be memory safe then.
> You can, of course, add traits. But at this point you're essentially creating your own language that compiles to Zig
I think herein lies the rub. What's the difference between a static analysis tool and an actual separate language that transpiles to the original? Hypothetically - again, very un-ergonomically - you could add traits to Zig code in comments, or in example-traits.typezig files that would be skipped by the Zig compiler (like how *.d.ts files are skipped). How much of a language is writing code in a particular syntax, versus how much of a language is writing code that will pass a tool "building" it, versus how much of a language is about the final compiled output that you get from the tool? All static analysis tools that support line-level exceptions are, essentially, programmed by comments, with their own language (typically highly simplified compared to a "full" programming language), that affect whether or not the "language" passes or not. What Typescript/JSDoc shows is that, actually, much more complicated tooling can be built with this programming-by-comments model than had been done before (to my knowledge), and thus even more powerful still tooling could be built with that model.
Of course there's a difference between static analysis and a language that transpiles. But perhaps it's more a question of degree than a simple binary classification.
empirically untrue. several projects exist that bolt on extra safety to unsafe languages or unsafe parts of language. SeL4 for C, MIRI for rust unsafe. i guess ada/spark for ada too, is the OG, spark being added to ada 4 years after its first release
Hardening is definitely possible, we've had sanitizers in C/C++ for a long time. It's not full memory safety though. Miri is the same.
SeL4C is formal verification, and while it can prove memory safety (and much more) it is much more difficult, to the point that you're basically programming in a different language.
Ada/SPARK is your best example, and also the example I know the least of, so I won't comment on.
SPARK omits some features of Ada, so it would only reinforce the sentiment that bolting on verifiability after-the-fact is difficult. Expressivity is generally the antithesis of static analysis, and it's very easy and tempting to make a language that is accidentally too expressive to support a given analysis without being required to make breaking changes to reduce expressivity.
A language is more expressive when it allows more programs and less expressive when it allows fewer programs. I don't know zig-clr, but if it rejects programs that Zig accepts (for example, by rejecting the aforementioned ambiguous pointers), then it is less expressive, not more (keeping in mind that being less expressive is not a pejorative).
it is easy to patch the zig compiler to enable this this (export the code graph; about 50 LOC). The analysis is much much harder to get right.