Course Description

Build Fully Autonomous AI Dev Teams with Claude Code + tmux Orchestration

Claude Code is already one of the best AI coding agents out there — but most people still use it like a single assistant, one task at a time. In this course, you’ll learn a workflow that turns Claude Code into a truly autonomous multi-agent system: it spins up a full team, runs tasks in parallel, schedules check-ins automatically, and keeps development moving without constant monitoring.

You’ll use tmux (terminal multiplexer) to manage multiple Claude Code instances inside one terminal session and terminal scheduling to run a timed, self-driving development loop. By the end, you’ll be able to launch a spec-driven project where front-end and back-end teams work simultaneously, commit progress automatically, and report status on a schedule.

What You’ll Learn

• How to turn Claude Code into a parallel, autonomous development team

• How tmux enables one agent to control multiple Claude Code instances

• How scheduling eliminates the need to constantly monitor progress

• How to run a full-stack build using a spec-driven workflow

• How to structure specs so agents build the right app, on a timeline

• How to add version control checkpoints and restore points automatically

Key Concepts Explained

• tmux (Terminal Multiplexer)

  • Create multiple terminal windows inside one session

  • Spawn multiple Claude Code instances controlled by a main agent

  • Persist sessions in memory so you can resume exactly where you left off

• Terminal Scheduling

  • Assign tasks with time-based execution rules

  • Automate phase transitions and check-ins

  • Run a closed-loop workflow that progresses without manual supervision

Tools & Framework Used

• Tmux Orchestrator (GitHub repository workflow)

  • Clone and set up the orchestrator project

  • Run setup scripts to enable the agentic workflow

  • Use a tmux session as the runtime environment for the agent team

• Claude Code

  • Initialize the main orchestrator agent

  • Run system checks (tmux control + scheduling verification)

  • Deploy and manage multiple sub-agents/windows

• Optional: Cursor

  • View and edit the repository structure visually

  • Inspect specs, task folders, and generated output

Setup Workflow You’ll Follow

• Clone the Tmux Orchestrator repository into your target directory

• Run setup commands to make scripts executable

• Start a fresh tmux session for orchestration

• Initialize Claude Code inside the tmux session

• Run a verification prompt to confirm:

  • tmux window control is working

  • scheduling is functioning correctly

Required Fixes for the Current Repo Version

Because the project is still evolving, you’ll learn how to apply two practical fixes:

• Fix 1: Hard-coded paths

  • The repo may contain paths tied to the author’s username

  • Claude detects and updates them automatically for your environment

• Fix 2: Fully autonomous command execution

  • Replace standard Claude commands with the version using:

    • --dangerously-skip-permissions

  • Ensures all terminal agents run commands without waiting for approvals

  • Prevents the workflow from freezing at phase one

Spec-Driven App Building System

You’ll set up a simple but powerful spec structure:

• Spec folder (the blueprint)

  • Main spec with timed development phases

  • Integration spec

  • Separate frontend and backend specs

  • Optional UI reference folder for design replication

• Task Manager folder (execution workspace)

  • Where the app is actually built

  • Where agents implement features and run servers/tests

Multi-Team Parallel Development

You’ll learn how to define and deploy teams inside your prompt:

• Frontend team

  • Project manager window

  • Developer window

  • Server/test window

• Backend team

  • Project manager window

  • Developer window

  • Server/test window

• Extending teams (optional)

  • Add an auth team, payments team, etc., using the same pattern

Automated Checkpoints & Progress Control

• Scheduled check-ins every 15 minutes

• Status reports on what each team is doing

• Timed phases with completion targets

• Automatic commits as restore points

• Option to proceed fully automatically or step-by-step (your choice)

Getting Clean, Copy-Pastable Commands

• Why GitHub repos can be hard to follow in video form

• Using GitIngest to convert a GitHub repo into AI-readable text

• Feeding that summary into Claude/ChatGPT to generate:

  • Installation steps

  • Commands

  • Workflow explanations

  • Troubleshooting guidance