GRAPH ENGINEERING IS TAKING OVER. The most advanced AI agents no longer think in linear prompts. They traverse execution graphs where every node represents planning, memory, retrieval, validation, or tool execution. A single request can activate 100+ graph nodes, run dozens of branches simultaneously, merge intermediate states, and return results in under 2 seconds without restarting the reasoning pipeline. The teams shipping the strongest AI products aren't competing on bigger LLMs anymore. They're engineering graph architectures that maximize throughput, context reuse, and autonomous decision quality at production scale.