Worked on the NVIDIA/cuda-python repository to enhance the reliability of example code by addressing compatibility issues between CUDA-Python examples and NumPy versions. Focused on error handling and Python development, implemented a version check within the thread_block_cluster.py example to validate that the installed NumPy version meets the required criteria. This approach prevents runtime errors and ensures users experience consistent, correct behavior when running provided examples. Leveraged version control best practices to document the change, improving traceability and maintainability. The work reduced potential user confusion and support requests by proactively enforcing compatibility, demonstrating attention to robust software practices and user experience.