Graph Engineering 101

Why watch

This video introduces Graph Engineering as a paradigm for building predictable, controllable multi-agent AI systems. It explains the differences between agent harnesses, loops, and graphs, then demonstrates a real-world PR review pipeline using fan-out, join, and router patterns. The content also clarifies how graph engineering differs from knowledge graphs, loop engineering, and agent swarms, and shows how to orchestrate shared state using Google's ADK. Designed for developers building complex AI agent systems who need to understand orchestration patterns.