Title: Why Reading CLI Logs is the Wrong Way to Debug AI Agents
As tools like Claude Code and Aider become staples in our workflows, we’re hitting a new bottleneck: Observability. When an agent decides to navigate three directories, read five files, and refactor a module, tracking that logic in a terminal is a nightmare.
We need a way to visualize the 'Agentic Flow.' Instead of scrolling through logs to find where a reasoning loop went wrong, imagine seeing a real-time flowchart of the agent's execution path. This is why I started working on the Agent Flow Visualizer. It’s designed to transform the messy terminal output of CLI agents into a structured visual map.
How are you all keeping track of your agent's decision-making process? Are you sticking to logs, or is there a better way to ensure these agents aren't hallucinating logic behind the scenes?
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