AI agents can handle complex domain-specific engineering when grounded in real-world validation and persistent knowledge—LLMs alone fail on RAN work because they hallucinate APIs and break on real hardware, but agents with feedback loops and ground truth don't.
GENESIS is an AI agent framework that automates cellular network (6G RAN) development by converting specifications and problems into tested code solutions. It combines LLMs with real hardware validation and a persistent knowledge base to handle tasks like feature implementation, testing, and optimization that normally take months of manual engineering.