In March 2025, Chris Lang contributed to the pytorch/executorch repository by implementing a CoreML backend placeholder using Python and backend development skills. This placeholder was designed to prevent uquery-related failures, thereby stabilizing continuous integration and test cycles while the full CoreML integration was still in progress. By introducing this scaffolding, Chris ensured that ongoing development and downstream work could proceed without interruption from CoreML-related issues. The approach focused on maintaining project momentum and preserving test reliability, laying a clear foundation for future backend integration. The work demonstrated a practical, infrastructure-oriented solution to support evolving backend requirements.