In September 2025, MJK developed the CUDA_KERNEL_ASSERT_PRINTF helper for the ROCm/pytorch repository, enhancing CUDA kernel debugging by integrating printf-style diagnostics with assertion checks. This feature allowed device-side context to be included in error messages, streamlining the debugging process and reducing the need for recompilation or repeated workflow runs. MJK’s approach maintained performance by gating printf usage outside critical execution paths, ensuring minimal impact on kernel speed. The work built on the existing CUDA_KERNEL_ASSERT_MSG macro, extending the debugging toolkit without disrupting APIs. The project demonstrated depth in CUDA programming, C++ macro design, and performance-aware debugging instrumentation within complex codebases.