During May 2025, Yhao developed an automation feature for the pytorch/pytorch repository, focusing on improving Triton kernel workflows within PyTorch. Yhao implemented Python scripting and subprocess management to enable _get_clean_triton.py to automatically generate missing launch parameters, eliminating the need for manual configuration files. This enhancement streamlined the command line interface experience for developers running Triton scripts, reducing setup friction and improving reliability for experimental runs. The work demonstrated a targeted approach to workflow automation, addressing a specific pain point in Triton-based development and contributing a well-scoped, maintainable feature that accelerates iteration without introducing unnecessary complexity or overhead.