rust-performance-optimization

What problem does it solve?

This Skill helps Rust developers squeeze maximum performance from their code by guiding profiling, hotspot optimization, and memory-friendly patterns.

Core Features & Use Cases

• Profiling First: Establish a measurement-driven workflow using cargo bench, flamegraph, and heap profiling to locate bottlenecks.
• Data-Oriented Design: Reorganize data layout for cache efficiency, reduce allocations, and favor copy types for small data.
• Benchmark-Driven Optimizations: Create and compare micro-benchmarks to validate improvements and keep performance regression in check.
• Use Case: A hot loop in a game engine or data processing pipeline that benefits from inlining, SIMD, and reduced allocations.

Quick Start

Start by running cargo bench on your project to identify the top hot paths, then apply the patterns to the identified sections and re-run benchmarks to verify impact.