Fannie Zhang developed a performance-oriented update for the itchyny/go repository, focusing on optimizing the memmove function for Arm Neoverse cores. She introduced detection for Neoverse N3, V3, and V3ae architectures within the internal CPU package, enabling the use of aligned loads to increase memory copy throughput. Working primarily in Go and leveraging her expertise in CPU architecture and system programming, Fannie’s changes targeted improved efficiency for cloud and edge workloads. Although the work was delivered in a single feature commit and did not address bug fixes, it established a solid foundation for future architecture-specific performance enhancements in Go.