axiom-swift-performance

To reduce ARC overhead in Swift, you must minimize unnecessary retain/release cycles. This Skill provides strategies for optimizing value semantics and memory layout to decrease reference counting overhead and improve runtime efficiency.

Optimizing generic code in Swift requires applying generic specialization to avoid dynamic dispatch. This Skill guides you through tuning generic code performance alongside collection efficiency and memory layout for high-performance applications.

Noncopyable types improve Swift 6.0 performance by enforcing unique ownership and eliminating copying overhead. This Skill details the performance implications of noncopyable types, InlineArray, and Span for high-performance memory management.

High CPU usage in Swift critical loops often stems from inefficient value vs. reference semantics or poor collection performance. This Skill helps diagnose and resolve these bottlenecks through targeted memory layout and runtime optimizations.

Use InlineArray and Span when you need strict control over memory layout and allocation in Swift 6.0+. This Skill explains how these features reduce memory overhead and improve collection performance in high-efficiency applications.