A Rust Developer's First Impressions of Zig
Comparing memory management, testing, and coding styles between the two languages
1IDE support shock
Coming from Rust's robust IDE ecosystem (RustRover), the author was surprised by Zig's minimal tooling - just basic syntax highlighting and autocompletion. This forced a return to command-line development, which unexpectedly became a positive aspect of the experience. The simplicity of Zig's build system (build.zig) proved refreshing compared to more complex setups.
2File structure philosophy
Zig encourages flat file structures rather than deep hierarchies common in Rust projects. While Rust developers often organize code into many small files early, Zig's approach makes developers question whether fragmentation actually improves readability. The author found they could complete a substantial project (zig-jsonpath) without any folder hierarchy at all.
3Testing approaches diverge
Rust's testing ecosystem allows tests either in separate files or inline. Zig's testing felt more verbose, forcing a choice between cluttering individual files or the main folder. While Rust's testing infrastructure felt more polished, much of Zig's testing friction comes from its manual memory management rather than testing tools themselves.
4Functional vs imperative styles
Rust's functional influences (immutability, combinators, monadic types) contrast sharply with Zig's imperative approach (in-place mutation, direct memory management). The author attempted to preserve Rust's functional concepts in Zig but found the languages fundamentally diverge in their handling of data structures and control flow.
5Memory management realities
Zig's explicit allocators appear in nearly every function and structure. While more predictable than C's memory handling, this requires meticulous manual management of init/deinit cycles. Rust's automatic Drop implementation eliminates whole categories of memory bugs that Zig developers must handle explicitly.
6Ownership challenges
The article details several memory management pitfalls in Zig, including cases where: (1) forgetting deinit causes leaks, (2) error paths skip cleanup, and (3) ownership confusion leads to double-frees. Each case compares how Rust's ownership system prevents these issues entirely through compile-time checks.
7TestAllocator advantages
Zig's TestAllocator helps catch memory issues but requires explicit test cases. It can detect leaks and double-frees that might otherwise hide in complex code. While helpful, this still represents manual work that Rust's borrow checker handles automatically through its type system.
8Error handling contrast
Zig's errdefer provides deterministic cleanup on error paths, similar to Rust's Drop. However, Zig requires explicit annotation of every potential error path, while Rust guarantees cleanup through its ownership system. The article shows concrete examples where Rust's approach prevents entire classes of resource management bugs.
9Performance tradeoffs
Zig's manual memory management allows precise control over allocations, potentially offering better performance in resource-constrained scenarios. However, this comes at significant cognitive overhead compared to Rust's zero-cost abstractions. The choice depends on whether control or safety matters more for a given use case.
10Language design philosophies
Rust prioritizes safety through abstraction while Zig values transparency and control. Rust's functional influences encourage immutable data flows; Zig embraces imperative mutation. These differences reflect their target domains - Rust for reliability-critical systems, Zig as a C successor with modern conveniences.
11Readability comparison
The author found Zig code less readable than Rust equivalents, citing manual memory management noise and imperative patterns. However, they acknowledge this reflects personal bias toward functional styles. Zig's explicitness has advantages for low-level systems programming where understanding memory layout matters.
12Lessons for polyglot developers
The experience challenged assumptions about project organization and testing approaches. Working in Zig made the author reconsider file structure decisions even in Rust projects. The comparison highlights how language design choices shape problem-solving approaches and what seems "natural" to developers.
Original article: Hacker News (news.ycombinator.com) — A Rust Developer's First Impressions of Zig