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Design Patterns and Best Practices in Rust

Design Patterns and Best Practices in Rust

By : Evan Williams
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Design Patterns and Best Practices in Rust

Design Patterns and Best Practices in Rust

By: Evan Williams

Overview of this book

Many Rust developers run into problems when they try to apply familiar object-oriented or cross-language patterns to Rust projects. These mismatches often lead to confusing compiler errors, awkward workarounds, or brittle code. This book helps you avoid those traps by thinking in Rust and applying idiomatic design patterns that embrace ownership, borrowing, and type safety. The book begins with anti-patterns and common mistakes Rust developers often encounter, including misusing object-oriented thinking, over-relying on Clone, or treating the borrow checker as an obstacle. From there, you’ll explore how to rethink traditional design solutions for Rust, including creational, structural, and behavioral design patterns. You’ll also dive into architectural strategies, type-driven design, and Rust-specific techniques such as TypeState. The final chapter brings these ideas together into a design mindset rooted in idiomatic Rust. By the end of this book, you’ll know how to avoid costly mistakes, apply effective patterns confidently, and design Rust applications that are clean, scalable, and reliable. *Email sign-up and proof of purchase required
Table of Contents (20 chapters)
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Lock Free Chapter
1
Part 1: Thinking in Rust
6
Part 2: Replacing Traditional Design Patterns
11
Part 3: New Patterns for Rust
19
Index

The NewType pattern

The NewType pattern has a long history in statically-typed functional programming, particularly in Haskell, where the newtype keyword has been a language feature since the 1990s. The pattern also appears in ML, OCaml, and other languages with strong type systems. The core idea of wrapping existing types in distinct types for semantic clarity and type safety predates Rust. It is a response to the issue that values that are conceptually different, such as temperature and weight, have the same type representation in the code, for example, a float. From the compiler's perspective, they are the same, and that leads to bugs when these values are inadvertently mixed up.

What Rust brings to this well-established pattern is zero-cost abstraction: the wrapped type compiles to exactly the same representation as the underlying type, with no runtime overhead. In languages with garbage collection or boxing, creating wrapper types often incurs performance costs. Rust...

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