carmack-programming

Cache-conscious optimization requires data-oriented layouts like Structure of Arrays (SoA) and minimal branching in hot paths. This skill applies first-principles design to enforce profile-driven improvements through clear guidelines and worked examples.

First-principles programming involves understanding hardware behavior and minimizing abstractions to write simple, correct code. For game engine components, it enforces pragmatic engineering using unity builds and simple allocators to reduce complexity.

Memory allocation for performance-critical code uses simple allocators like arena and pools to manage state efficiently. This approach reduces complexity and maintains performance discipline in systems programming.

The first-principles methodology applies to both general systems programming and graphics engines. It covers scope across memory management and profiling workflows, making it suitable for both learning and real projects.

The best way to profile hot paths is through measurement-driven optimization. This skill provides profile-driven workflows and practical requirements to apply measurable optimizations, demonstrated via worked examples.

Minimizing dependencies matters because it enforces first-principles design and reduces unnecessary complexity in performance-critical code. This skill enforces minimal dependencies alongside cache-conscious structures to maintain lean, fast systems.