AIfoundry.app

⚠️ Experimental - Work in Progress
This is an experimental platform currently under active development. You can test the latest version at aifoundry.app

A platform for customizing specifications, templates, and patterns to bootstrap projects quickly with SWE agents doing the heavy lifting. If you have existing data, configure it to post-train small models.

🚀 Quick Start

For the best experience, we recommend self-hosting this application to avoid rate limits and get full functionality.

Option 1: Self-Host (Recommended)

# Clone the repository
git clone https://github.com/Azure/aifoundry-apps.git
cd aifoundry-apps

# Run the interactive setup script
./setup.sh                    # Linux/macOS
# OR
.\setup.ps1                   # Windows PowerShell

Option 2: Try the Demo

Visit aifoundry.app to try the demo (note: heavily rate-limited)

What It Does

• Customize Specifications: Create detailed technical specs that guide development
• Browse Templates: Use pre-built AI agent templates from Azure AI Foundry
• Design Patterns: Create multi-agent workflows for complex tasks
• Assign to SWE Agents: Let GitHub Copilot and other agents do the heavy lifting
• Post-Train Models: Fine-tune small models with your existing data using RL

Screenshots

See AIfoundry.app in action with these key features:

Homepage Interface	Agent Templates
Task Assignment	Post-Training with RL

Tech Stack

• Backend: FastAPI + Python, inspired by spec-kit
• Frontend: React + TypeScript + Tailwind CSS
• AI Integration: Azure AI Foundry, GitHub Copilot, MCP

🛠️ Local Development

Quick Start

# Clone and setup
git clone https://github.com/Azure/aifoundry-apps.git
cd aifoundry-apps
./setup.sh  # or .\setup.ps1 on Windows

# Start backend
cd src/backend
uv venv && source .venv/bin/activate
uv sync && uv run uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload

# Start frontend (new terminal)
cd src/frontend
pnpm install && pnpm run dev

Configuration

Create src/backend/.env:

# Required for AI features
AZURE_OPENAI_ENDPOINT=your_endpoint
AZURE_OPENAI_API_KEY=your_key

# Optional: GitHub integration
GITHUB_APP_ID=your_app_id
GITHUB_CLIENT_ID=your_client_id
GITHUB_CLIENT_SECRET=your_client_secret

🌐 Self-Hosting

Docker (Easiest)

git clone https://github.com/Azure/aifoundry-apps.git
cd aifoundry-apps/deployment
docker-compose up -d

Manual Setup

# Follow local development steps above
# Configure production environment variables
# Use nginx for reverse proxy and SSL

Why Self-Host?

• No rate limits
• Full control over your data
• Customize as needed

Contributing

This project is in active development. Contributions, feedback, and suggestions are welcome.

License

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