The K-Search framework translates CUDA optimization knowledge into architecture-native strategies for MLX. Instead of copying instructions, it maps high-level GPU kernel expertise to Apple Silicon's specific hardware. This approach bypasses the years of manual tuning usually required for low-level programs. Developers can now port complex AI kernels with significantly less manual effort.