Hanli focused on streamlining configuration management within the meta-pytorch/tritonbench repository by refactoring the RaggedHSTUAttn component. Using Python and leveraging skills in code refactoring and module configuration, Hanli removed an unused constant and standardized contextual sequence length naming, reducing complexity and improving maintainability. The technical approach emphasized consolidating naming conventions and cleaning up configuration surfaces, which preserved existing feature behavior while enabling safer future changes. This work lowered maintenance costs, minimized configuration errors, and facilitated faster onboarding for new contributors. The depth of the refactor ensured clearer code structure, supporting both ongoing development and easier quality assurance across the module.