Kavya Chennoju developed a Device-to-Device Edge Communication Learning Path for the madeline-underwood/arm-learning-paths repository, focusing on zero-configuration deployment for local device communication. Using Python and the device-connect-edge SDK, Kavya implemented two simulated devices—a sensor and a threshold monitor—that interact directly on the same network without a central broker. The work covered key edge computing concepts, including DeviceDriver, identity management, behavior decorators, and runtime integration, while leveraging the device-connect-agent-tools client. Kavya’s contributions enhanced onboarding materials and developer documentation, providing a practical, end-to-end example that accelerates developer understanding of IoT device communication and edge development workflows.