rust-build-optimization

Diagnose slow Rust build times using a measurement-first workflow with cargo --timings, self-profile, and linker analysis to pinpoint exact bottlenecks in compilation or linking. This evidence-based approach justifies all applied performance improvements.

A Rust project may take minutes to rebuild due to linker overhead, monomorphization bloat, or serialized codegen. Analyzing build performance through systematic measurement identifies the specific bottleneck causing high latency during development.

Optimize Rust compilation performance in CI pipelines through targeted configuration tuning for linkers, profile adjustments, workspace splitting, and CI caching based on fresh baseline measurements from cargo --timings.

Cargo self-profile works by profiling the Rust compilation process to pinpoint exactly where time is lost during codegen and linking. It provides detailed timing data to identify specific bottlenecks requiring performance improvements.

You should not apply build optimization configurations without measuring first. This approach requires adherence to a measurement-first workflow using cargo --timings and self-profile to justify all applied performance improvements.

Yes, rust-build-optimization helps with linker overhead by providing specific configuration recipes for linkers and workspace splitting. It diagnoses whether linker overhead or serialized codegen is causing high latency in large Rust projects.