During January 2026, Anlun X. enhanced debugging and analysis capabilities for HLO cost analysis across the Intel-tensorflow/xla and ROCm/tensorflow-upstream repositories. They developed new C++ features that allow named properties within HloCostAnalysis to be printed, streamlining the process of performance analysis and debugging. By standardizing property-printing behavior across XLA frontends, Anlun improved consistency and reduced the time required for cross-repo analysis. Their work demonstrated a strong grasp of C++ development and software engineering principles, focusing on maintainability and developer usability. The depth of these enhancements addressed practical debugging needs without introducing unnecessary complexity or impacting existing workflows.