What is Type-Driven Design in Rust?

Type-Driven Design is an approach where you use Rust's expressive type system to enforce business rules, ensuring that many categories of bugs result in compiler errors rather than runtime crashes.

When should I use the Newtype pattern?

Use Newtypes whenever you have primitive data (like a String or i32) that has a specific meaning, such as an Email address or a UserID, to prevent them from being accidentally swapped or misused.

How does the Type State pattern prevent errors?

It encodes the state of an object into its type. This means methods only available in specific states (like 'send' on a 'Connected' socket) literally do not exist in the code when the object is in a different state.

Does type-driven design impact performance?

Most patterns suggested by this skill, such as ZSTs (Zero-Sized Types) and Marker Traits, are zero-cost abstractions that are optimized away by the compiler, providing safety with no runtime overhead.

Rust Type-Driven Design

Name: Rust Type-Driven Design
Author: actionbook

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596

API 开发

Enforces robust software architecture by leveraging Rust's type system to make invalid application states unrepresentable at compile-time.

关于

The m05-type-driven skill is a specialized architectural guide for Rust developers looking to move validation from runtime to the compiler. It provides structured patterns for implementing Type States, Newtypes, PhantomData, and Marker Traits to encode complex invariants directly into the type system. By following these patterns, developers can eliminate 'primitive obsession' and boolean flag-based logic, resulting in self-documenting code that prevents bugs through structural constraints rather than manual error handling.

主要功能

Guidance on using PhantomData and Marker traits for static capability tracking
Implementation of Type State patterns for compile-time state machine validation
Builder pattern templates for safe and gradual object construction
Sealed trait patterns to prevent external implementation of internal interfaces
Newtype pattern generation to wrap primitives in semantic, domain-specific types
596 GitHub stars

使用场景

Designing robust API interfaces that prevent incorrect usage by consumers
Building zero-cost abstractions that enforce safety invariants without performance overhead
Refactoring legacy code to replace runtime checks with compile-time type safety

关于

主要功能

Guidance on using PhantomData and Marker traits for static capability tracking
Implementation of Type State patterns for compile-time state machine validation
Builder pattern templates for safe and gradual object construction
Sealed trait patterns to prevent external implementation of internal interfaces
Newtype pattern generation to wrap primitives in semantic, domain-specific types
596 GitHub stars

使用场景

Designing robust API interfaces that prevent incorrect usage by consumers
Building zero-cost abstractions that enforce safety invariants without performance overhead
Refactoring legacy code to replace runtime checks with compile-time type safety