Autonomous AI-powered development workflows with GitHub Copilot

Features • Quick Start • How It Works • Configuration • Contributing

• 🔧 Setup Wizard - Easy first-time configuration with guided setup
• 📋 Queue Management - View, reorder, add, and remove issues from the development queue
• 🔄 Real-time Monitoring - Live status of all issues and PRs with workflow history
• 🤖 Autonomous Pipeline - Start/stop automated workflow processing
• ⏱️ Smart Cooldowns - Rate-limit issue assignments (configurable)
• 📝 Agent Instructions - Automatically include implementation guidelines
• 🔌 MCP Integration - Uses GitHub's official MCP Server for Copilot assignment
• ✨ Auto-Apply Changes - Detects Copilot reviews and triggers change application

./start.sh

This will:

• Create a virtual environment (first run only)
• Install dependencies
• Start the Streamlit server at http://localhost:8642

On first launch, you'll be guided through a 5-step setup wizard:

1. GitHub Token - Enter your Personal Access Token
2. Repository - Select which repository to automate
3. Issues - Choose which issues to add to the queue
4. Configure - Set automation preferences (cooldown, auto-merge, etc.)
5. Complete - Review and start using the pipeline

Your GitHub Personal Access Token needs these permissions:

• repo (full control of private repositories)
• workflow (if you need to trigger workflows)
• GitHub Copilot subscription (for issue assignment)

┌─────────────────┐     ┌──────────────────┐     ┌─────────────────┐
│  Copilot wants  │ ──► │ Auto-reassign    │ ──► │ Copilot reviews │
│  your review    │     │ review to Copilot│     │ and suggests    │
└─────────────────┘     └──────────────────┘     └────────┬────────┘
                                                          │
┌─────────────────┐     ┌──────────────────┐     ┌────────▼────────┐
│   Start next    │ ◄── │   Auto-merge     │ ◄── │ Auto-apply      │
│   issue         │     │   approved PR    │     │ changes         │
└─────────────────┘     └──────────────────┘     └─────────────────┘

When the pipeline is running, it polls at regular intervals and:

1. When Copilot requests your review → Auto-reassign review to Copilot
2. When Copilot suggests changes → Auto-comment "@copilot apply changes"
3. When PR is approved → Auto-merge into target branch
4. When PR is merged → Wait for cooldown, then assign next issue

To prevent overwhelming the system, there's a configurable cooldown between issue assignments:

• Cooldown triggers after a PR is merged (not when assigned)
• Other actions (review reassignment, applying changes, merging) have no cooldown
• Adjustable in the UI Settings

copilot-coding-agent-orchestrator/
├── src/                      # Source code
│   ├── app.py                # Streamlit dashboard
│   ├── setup_wizard.py       # First-time setup
│   ├── daemon.py             # Background daemon
│   ├── automation_engine.py  # Core automation logic
│   ├── github_client.py      # GitHub API client
│   └── mcp_client.py         # MCP protocol client
├── assets/                   # Branding assets
│   ├── swaibian_white.png
│   ├── swaibian_Avatar_white.png
│   └── thankyou.jpg
├── .github/                  # GitHub templates
│   ├── CODEOWNERS
│   ├── CONTRIBUTING.md
│   ├── ISSUE_TEMPLATE/
│   └── PULL_REQUEST_TEMPLATE.md
├── config.example.yaml       # Example configuration
├── .env.example              # Example environment
├── requirements.txt          # Python dependencies
├── start.sh                  # Start script
├── LICENSE                   # MIT License
└── README.md                 # This file

After running the setup wizard, your config.yaml will be generated:

github:
  owner: YourUsername
  repo: YourRepo
  target_branch: main

automation:
  poll_interval: 60          # seconds between checks
  auto_merge: true           # auto-merge approved PRs
  auto_assign_next: true     # auto-assign next issue after merge
  cooldown_minutes: 60       # minimum time between assignments

agent_instructions: |
  Your custom implementation instructions...

issue_queue:
  - ISSUE-1
  - ISSUE-2

Control the daemon directly from the command line:

# Start daemon
python src/daemon.py start

# Stop daemon
python src/daemon.py stop

# Check status
python src/daemon.py status

# Run automation once
python src/automation_engine.py --once

# List available tools
python src/mcp_client.py list-tools

# Assign Copilot to an issue
python src/mcp_client.py assign OWNER REPO ISSUE_NUMBER

Contributions are welcome! Please read our Contributing Guide first.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add: amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Some files are protected and require owner approval to modify:

• assets/** - Branding and logos
• README.md - Documentation
• LICENSE - License file

This project is licensed under the MIT License - see the LICENSE file for details.

If you find this project helpful, consider:

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