Discussion: Observability in AI Agents

Title: Why Debugging AI Agents via CLI is Driving Me Crazy (and How to Fix It) As we move from simple prompt-response to complex agentic workflows like Claude Code or OpenDevin, the terminal is becoming an increasingly crowded place. Reading thousands of lines of logs to understand why an agent took a wrong turn is simply inefficient. We need better observability in our developer tools. I’ve started mapping these execution paths into visual flows to see the decision-making logic in real-time. My project, Agent Flow Visualizer, aims to bridge the gap between 'the agent is doing something' and 'I know exactly what logic path the agent followed.' I'm curious—what tools or strategies are you all using to keep track of your autonomous agents' internal states and nested loops? Is the terminal enough for you, or are we reaching a point where visual debugging is mandatory for agentic UX?