What I Learned Building a LangGraph Agent From Scratch
I wanted to understand what it actually takes to build something that makes real decisions. So I built a job research agent using LangGraph: give it a company name, it autonomously gathers information from multiple sources, evaluates whether it has enough to work with, and loops back if it doesn’t. This post is about what that process taught me about state, nodes, and conditional nodes. The Problem With Linear Pipelines A typical “agent” pattern looks like this: ...