During October 2025, Ru Luo focused on improving the reliability of example code in the NVIDIA/cuda-python repository by addressing compatibility issues between CUDA-Python examples and NumPy versions. Ru implemented a version check within the thread_block_cluster.py example, using Python to validate that the installed NumPy met the required version constraints. This error handling approach proactively prevented runtime failures and ensured users could execute examples under supported environments. By documenting the change through version control and referencing the related issue, Ru enhanced maintainability and traceability. The work demonstrated careful attention to compatibility validation and reinforced best practices in Python-based scientific computing.