In February 2026, Hcyu contributed to the pytorch/pytorch repository by refactoring the Torch.mtia backend to remove the accelerator abstraction, enabling direct hook calls for device management. This change reduced code indirection and simplified the backend architecture, laying the groundwork for future MTIA performance optimizations. Hcyu’s work focused on backend development using C++ and Python, demonstrating an optimization-minded approach to software architecture. By streamlining device interactions and maintenance, the update improved workflow efficiency for MTIA-related tasks. Although no bugs were fixed during this period, the depth of the refactor addressed core maintainability and performance concerns within the backend system.