LangGraph Tutorial Day 2: How Conditional Edges Enable Decision-Making in AI Graphs

Developer Kunal Hore published the second entry in his public LangGraph learning journal on DEV Community, focusing on how graphs can branch based on real-time conditions. Building on Day 1's fixed food-ordering workflow, he introduces the concept of a router — a function that reads the current graph state and returns a string label to direct the flow. A conditional edge then uses that label to determine which node executes next, enabling dynamic paths rather than a single fixed sequence. Hore emphasizes a key design principle: routers should only read and decide, never modify state, keeping decision logic cleanly separated from data processing. The lesson includes a working code example and aims to help readers eventually build stateful AI agents capable of branching, retrying, and looping.