![]() ![]() ![]() We get all of this while enjoying the benefits of compile-time type checking in every one of our target languages. The output from this tool handles the serialization/deserialization process automatically, meaning our client-side devs can continue to work in their language of choice while interacting with the Rust library and can be free from the concerns of JSON parsing over the foreign function interface (FFI). □Īnother very powerful (and often overlooked) feature of Rust is its procedural macro system, which has allowed us to write a tool that automatically shares types defined in Rust with our client-side languages (Swift, Kotlin, and TypeScript). It may not be what you want but it will be “correct”. If it compiles, you can be fairly sure it won’t exhibit unexpected behaviour. Rust requires very little runtime debugging compared to other languages. Having to perform less runtime state validation leads to cleaner, more efficient, more focused, and higher quality code. Carefully aligning application logic with Rust’s strong type rules makes APIs difficult to use incorrectly and results in simpler code that’s free from runtime checking of constraints and invariants the compiler can guarantee there are no invalid runtime code paths that will lead your program astray before it executes. The strong type system enforces these rules at compile-time. Rust offers a form of “program correctness” and many guarantees against undefined behaviour at runtime. There is a significant performance benefit to the lack of a traditional runtime we don’t have to worry about the overhead of a garbage collector, for instance. Beyond memory safety, though, there’s so much more we love about the Rust ecosystem. One of the main things that drew us to Rust initially was the memory safety it definitely excites us knowing that Rust helps us maximize our confidence in the safety of our customers’ secrets. ![]()
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