Refactoring to Rust

Ship faster code without rewriting from scratch. Many developers hesitate to adopt Rust because of the perceived learning curve or fear of breaking trusted code. What if you could modernize performance-critical parts of your application without overhauling everything at once? By making small, targeted improvements, you can experience Rust's speed, safety, and reliability right away, while keeping your existing systems stable and secure.



Incremental refactoring: Modernize critical paths while keeping trusted code stable.
Cross-language libraries: Call Rust from Python, JavaScript, or C for immediate speed gains.
Ownership and borrowing guidance: Eliminate data races, improve memory safety, sleep better at night.
Async and concurrency patterns: Process events at scale with predictable resource usage.
Error handling with enums: Replace cryptic crashes with clear, composable error flows.

Refactoring to Rust by experienced engineers Lily Mara and Joel Holmes delivers a practical, language-friendly roadmap for adding Rust libraries to existing applications. The soft-cover, 300-page guide balances clarity with depth, making advanced concepts approachable.

Through concise explanations, runnable examples, and side-by-side comparisons, the authors show exactly where Rust outshines scripting and systems languages. Each chapter targets a real refactor, from FizzBuzz pattern matching to blazing-fast HTTP services.

By the final page, readers can build production-ready Rust plugins that slash latency, cut memory waste, and future-proof critical features. The result is safer, faster software delivered with confidence.

Ideal for intermediate developers who crave performance without a risky rewrite, especially Python, JavaScript, and C maintainers.