Why I Chose Rust Over Zig

The case for staying with Rust over Zig comes down to one practical reality: Rust’s safety guarantees, mature tooling, and growing ecosystem have reached a level where it’s reliably productive for systems work—while Zig still feels like a promising but moving target.

Long-time C and C++ experience shapes the preference. The discussion starts with why C feels “right” after years in the Linux kernel, including learning how C compiles down to machine code and debugging real low-level failures using register dumps and kernel oopses. That background also highlights C’s pain points: manual memory management, missing built-in data structures, and the fragility of hand-rolled algorithms like balanced binary search trees. Even when C++ modernizations (like C++11 and later) reduced boilerplate via templates and classes, the inherited unsafety still meant debugging remained part of the job.

Rust enters as a response to that unsafety. Memory safety is the headline draw, but the path isn’t smooth: the early Rust era (around 2015) involved a rougher toolchain and a steep learning curve dominated by the borrow checker. Over time—especially after switching to professional Rust work—the borrow checker “clicked,” and concepts like stack vs. heap allocation and automatic deallocation made the model feel simpler than expected. Concurrency also becomes a turning point: understanding traits like Send and Sync helps Rust’s approach to multi-threaded code feel less like guesswork.

Zig earns respect, but not enough to replace Rust. Zig is described as “C-like” at the low level, and its compile-time execution (“comptime”) is treated as a standout capability: type-based reflection and code generation happen during compilation rather than runtime, avoiding the kind of runtime type switching seen in languages like Go. The tradeoff is that Zig’s tooling and ecosystem lag behind Rust’s. The lack of widely available books and the churn in the toolchain make learning harder, and third-party support—especially for tools like GitHub Copilot—doesn’t work as well. Industry adoption also weighs heavily: Rust has major backing signals such as Microsoft writing parts of Windows in Rust and Linux kernel support for Rust, while Zig is still seen as earlier-stage.

Even so, Zig’s runtime safety tooling is praised. Memory leak detection is highlighted as unusually comforting: when deinitialization is forgotten, Zig’s test/build tooling points directly to leaked allocations and where they originated. Null-safety is also treated as a deliberate design choice—using optional pointers (like “?”) forces checks at the right times.

In the end, the decision is framed as a timing and maturity question. Rust is portrayed as “boring” in the best sense: safer, better supported, and productive enough that it remains the default systems language. Zig may be where Rust was in 2015—promising, but not yet ready to displace Rust for this workflow, especially until learning resources and ecosystem stability catch up.