Zig outperforms Rust in build speed and C compatibility
Zig offers 2.3x faster build speeds than Rust on AWS Graviton3 and provides seamless C interoperability. While Bun recently migrated 535,496 lines of code from Zig to Rust using AI, Zig remains preferred for predictable memory management in performance-critical software.
Bun’s AI-driven migration
Jarred Sumner rewrote 535,496 lines of Zig in Bun into Rust using Claude Fable 5 in four months, an AI-driven migration that increased HTTP throughput by 2% to 5% while addressing several longstanding memory leaks. The Bun team reported that the resulting Rust implementation in Bun v1.4.0 resolved 128 longstanding bugs present in v1.3.14. During the peak of the migration, the system generated 1,300 lines of code per minute and logged 695 commits an hour. The rewrite used $165,000 worth of tokens to complete the migration of 535,496 lines of code. The mechanical nature of the port introduced 19 subtle semantic regressions, though 11 rounds of security review from Claude Code Security fixed several issues. While this move addressed memory leaks, Andrew Kelley criticized the process, stating that relying on a test suite to catch all bugs is a flaw. Zig prioritizes explicit memory management over the automated borrow checker found in Rust. This approach removes hidden allocations and hidden control flow, giving developers exact control over how every instruction executes. If you want to see exactly what your code does with memory, Zig is clearly the best choice. Zig 0.16.0 released on April 14, 2026, and the development team recently moved all package-management functionality out of the compiler and into the build system.
Speed and interoperability
Zig builds faster than Rust for many workloads. A backend benchmark on AWS Graviton3 showed Zig completing a build in 18 seconds, while Rust took 42 seconds. This 2.3x speed difference becomes more pronounced as project size grows. Richard Feldman announced a full rewrite of the Roc compiler from Rust to Zig, citing slow compile times as a major productivity drain. Zig also integrates with C codebases without needing foreign function interface bindings. Developers include a system header and invoke platform SDKs directly, which eliminates the build-time cost of managing interface definition languages. Vercel Labs uses Zig for Zero-native to bypass Electron and create smaller apps. The language also supports many targets like x86_64, aarch64, and wasm32. Will the smaller binary size make deployment easier?
| Feature | Zig (v0.16.0) | Rust (v1.90) |
|---|---|---|
| Binary Size (Hello World) | 5KB – 20KB | 200KB+ |
| Build Speed (AWS Graviton3) | 18 seconds | 42 seconds |
| Primary Memory Model | Explicit Allocators | Borrow Checker |
| C Interop | Direct ABI | Requires FFI |
Choosing the right tool
The systems programming world uses both languages for different needs. Rust provides safety for security-critical applications like browsers or kernels, reaching #10 in the July 2026 TIOBE Index. The 2025 State of Rust Survey found that 91.7% of respondents currently use Rust, with 38% running it in production. In a Sharkbench computation benchmark from March 2026, Rust used 584KB of memory while Zig used 1.1MB to complete the same workload in roughly one second. Zig suits teams building performance-critical software like game engines or databases where they need predictable memory usage. This predictability exists because the standard library does not hide allocations behind convenient APIs; instead, every function that allocates takes an allocator parameter. TigerBeetle chose Zig over Rust for its simplicity and the ability to reason about performance at the instruction level. This control exists because developers can choose an arena allocator for request-scoped data or a fixed-buffer allocator for stack-bounded usage. Zig’s comptime also allows for generics and serialization by executing code at compile time. For teams wanting to leave C but finding Rust’s learning curve too restrictive, Zig serves a specific niche.