This article shows how to debug multiple programming languages such as C, C++, and Python. The RAPIDS team shares how they identified and resolved a deadlock in their project. They highlight the importance of finding a minimal reproducer and setting up the environment to prepare for debugging. The article also presents how to use GDB to diagnose deadlocks and how to mix Python and CUDA.

• Debugging across devices and languages requires a team with varying skill sets and expertise to reveal the underlying problem.
• To make debugging easier, one should always have a basic understanding of the project architecture and a comprehensive approach to document bugs and their resolutions.
• Use tools such as GDB to diagnose deadlocks and other issues, and document your findings to help others address similar problems in the future.