Orchestrating a Team of AI Agents from a Single CLI

Published: 2026-03-13 | Target: Dev.to / Hashnode | Audience: Senior devs, DevOps engineers, ML engineers The Problem: You've Become a Human Message Bus Picture this: you're running a feature sprint with three AI agents. Claude Code is implementing an OAuth2 flow in one terminal. OpenAI Codex is writing integration tests in another. A shell script is running database migrations somewhere else. You're copy-pasting context between terminals, manually checking whether each agent is done, restarting the one that crashed, and deciding which task should go next. You haven't automated your workflow. You've automated individual steps and manually stitched them together. The coordination overhead — tracking state, routing context, handling failures — still lands on you. This is the core problem when running 3+ AI agents: the agents themselves are capable, but there's nothing managing them as a team. You fill that gap. Before ORCH: You → Claude ("implement auth") You → Codex ("write tests for au