The K-Search framework translates decades of CUDA optimization knowledge into architecture-native strategies for MLX. Instead of copying instructions, it maps high-level GPU patterns to Apple Silicon's specific hardware traits. This approach reduces the manual effort required to port complex kernels. Developers can now deploy optimized AI workloads on Mac hardware faster.