Developed a foundational performance optimization feature for the ziglang/zig repository, focusing on CPU cache line size discovery across multiple architectures. This work involved implementing a function in Zig to retrieve cache line sizes, enabling architecture-aware memory management and improving the efficiency of atomic operations. By integrating this capability into the standard library, the developer established a basis for cross-platform performance improvements and more predictable memory behavior. The project leveraged skills in system programming, memory management, and performance optimization, and contributed to the maintainability and extensibility of Zig’s core libraries by providing a clear path for future architecture-specific enhancements.