Worked on reliability improvements for the NVIDIA/warp repository, focusing on enhancing Clang CUDA integration. Addressed a critical issue by implementing immediate error reporting for CUDA compilation failures, ensuring that errors are surfaced at the source rather than during downstream module loading. This approach reduced debugging time and minimized the risk of silent failures. Developed and added a dedicated unit test to validate error handling for invalid native function compilation, further strengthening module-loading robustness. Utilized Python, CUDA, and error handling techniques throughout the process, with an emphasis on thorough unit testing to ensure reliability and maintainability of the codebase.