What problem does it solve?
When AI agents generate Rust code, inconsistent adherence to coding standards, common antipatterns, and non-compliance with project conventions create technical debt, bugs, and extra review overhead. This skill solves that by providing a quick reference for Rust coding standards, best practices, and links to authoritative documentation for deep dives.
Core Features & Use Cases
- Quick Standards Reference: Covers Rust naming conventions, error handling with thiserror, ownership and borrowing rules, idiomatic iterator usage, newtype patterns for domain types, and Axum async handler best practices.
- Mandatory Quality Checks: Includes required rustfmt and clippy configuration and pre-commit validation steps to ensure code passes all linting and formatting checks.
- Comprehensive Documentation Links: Direct links to authoritative docs for coding standards, testing, code quality, build configuration, error handling, concurrency, memory management, and more for in-depth guidance.
- Use Case: For teams using AI agents to develop Rust backend services in a polyglot monorepo, this skill ensures all generated Rust code adheres to project conventions, avoids common pitfalls like unnecessary unwrap() calls, and is production-ready.
Quick Start
Use the swe-programming-rust skill to generate idiomatic Rust code for a new Axum payment processing handler that complies with project error handling and formatting standards.
