I use Codex as a manager for Claude Code, Pi, Copilot, and OpenCode executors. Here is the workflow that made it practical

I employ Codex as the overseer for Claude Code, Pi, Copilot, and OpenCode executors. The key to making this workflow practical was not adding more agents, but rather assigning one agent to coordinate the others. My typical process begins with brainstorming using a Codex manager. Once a task becomes more defined, it initiates an executor within the harness that best suits the task, and then transfers the goal, limitations, pertinent files, and anticipated validation to the executor.

I keep track of the progress through the manager, although I still interact with the executor session directly if it requires guidance.

Two crucial elements that ensured reliable delegation across various harnesses were reusable skills and shared context. Skills encapsulate the development process. Files contain the current project artifacts, while a distinct memory layer stores enduring decisions, conventions, and verified insights. I maintain the same setup running on a Virtual Private Server (VPS) connected to Telegram, enabling me to delegate an idea from my phone and return to it later at my convenience.

You can find the full workflow I've outlined in this link: https://codeaholicguy.com/2026/08/19/how-i-run-ai-coding-agents-as-a-team-with-ai-devkit/

I am interested in learning about how other individuals manage context transfer and review when multiple coding agents are active. Do you utilize a manager, or do you supervise each session independently?