rust-performance-optimization

What problem does it solve?

Rust performance issues can silently degrade user experience; this Skill helps you measure, profile, and optimize code to remove bottlenecks and guarantee responsiveness.

Core Features & Use Cases

• Measurement & Profiling: Collect CPU and memory usage, generate flamegraphs, and identify hot paths in Rust apps.
• Benchmarking & Optimization: Use Criterion and Divan to benchmark changes, compare results, and drive optimizations with data.
• Real-World Scenarios: Optimize hot code paths in long-running services, game loops, or high-throughput data pipelines, then validate improvements with PGO workflows and memory profiling.
• Use case example: profile a Rust API server, find a slow serialization path, and rewrite it to reduce latency.

Quick Start

• Install profiling tools (flamegraph, samply, etc.) and ensure debug symbols are available.
• Build and run profiled binaries:
  • cargo build --release
  • cargo flamegraph --bin myapp -- --my-args
• Run benchmarks and compare with baselines:
  • cargo bench
  • cargo bench -- --baseline main