Fighting AI Developer Fatigue: Building a Control Plane with FastAPI and tmux

The world is quickly filling up with autonomous AI coding agents, and managing their output effectively is a crucial skill for modern developers. This article provides a hands-on guide to solving "AI terminal fatigue" by building a robust control plane to orchestrate your agents. We’ll walk you through the architecture of Corral, an open-source tool that wraps agents like Claude Code, Gemini and other AI cli tools into a single control plane. By the end of this article, you will understand how to use tmux and FastAPI to regain control of your AI workflow and stop feeling overwhelmed by terminal sprawl. Project Overview We are entering an age where managing AI coding agents is becoming a core skill. The speed and scale they iterate is so fast that we are often left just watching the terminal scroll by. Corral is an attempt to bridge that gap and help us keep up context with their context. In this article, we will: Explain how to isolate AI agents using tmux and parallel git worktrees. B