AIfoundry.app

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

An agentic application that empowers solution engineers to customize multi-agent patterns and leverage the Azure AI Foundry Agent Service Catalog of Agent templates using SWE (Software Engineering) Agents.

Overview

AIfoundry.app provides a comprehensive platform for solution engineers to:

• Browse and customize multi-agent patterns from the Azure AI Foundry Agent Service Catalog
• Leverage various AI agents and tools for code generation and automation
• Deploy and test agent templates in integrated development environments
• Collaborate on agent-driven software engineering solutions

Core Technologies & Integrations

AI Agents & Tools

• GitHub Copilot Agent: Integrated via MCP (Model Context Protocol) for intelligent code suggestions
• Azure AI Foundry Model: Powered by Codex for advanced code generation and analysis
• Cognition Devin: Deployed via MCP on Azure Marketplace for autonomous software engineering
• Replit Integration: Available through Azure Marketplace for cloud-based development

Development Infrastructure

• GitHub Actions Runner: Automated CI/CD pipelines and testing
• MCP (Model Context Protocol): Seamless integration between different AI agents
• Azure Marketplace: Deployment and distribution platform for agent services

Features

• Agent Template Gallery: Browse and discover pre-built agent templates from Azure AI Foundry
• Multi-Agent Pattern Customization: Tailor agent behaviors and workflows to specific use cases
• Integrated Development Environment: Test and iterate on agent solutions in real-time
• SWE Agent Integration: Leverage Software Engineering Agents for automated code generation
• Modern UI/UX: Clean, intuitive interface inspired by Azure AI Labs design language

Architecture

• Backend: FastAPI with Python, integrated with Azure AI Foundry services
• Frontend: Vite + React + TypeScript + Tailwind CSS
• Agent Layer: MCP-based integration with multiple AI agents (Copilot, Devin, Codex)
• Deployment: Azure Container Apps with marketplace integrations
• Development Tools: GitHub Actions, Replit, and Azure AI Foundry toolchain

Development

Prerequisites

• Azure AI Foundry access
• GitHub Copilot subscription
• Azure Marketplace account for agent services

Backend Setup

cd src/backend
poetry install
poetry run fastapi dev app/main.py

Frontend Setup

cd src/frontend
npm install
npm run dev

Deployment

Quick Start

For detailed deployment instructions, testing, and troubleshooting, see the deployment/ directory.

Local Development with Docker

Build and run both services using docker-compose:

# From the deployment directory
cd deployment
docker-compose up --build

# Or run in detached mode
docker-compose up -d --build

# Stop services
docker-compose down

The application will be available at:

• Frontend: http://localhost:3000
• Backend API: http://localhost:8000
• Backend Health Check: http://localhost:8000/healthz

Azure Container Apps Deployment

Option 1: Azure Developer CLI (Recommended)

# From project root
azd init
azd up

Option 2: Manual Deployment

# From deployment directory
cd deployment

# Linux/macOS
chmod +x deploy.sh
./deploy.sh

# Windows
./deploy.ps1

Testing Your Deployment

After deployment, test your application:

# From deployment directory
cd deployment

# Linux/macOS
chmod +x test-deployment.sh
./test-deployment.sh <backend-url> <frontend-url>

# Windows
./test-deployment.ps1 <backend-url> <frontend-url>

Project Structure

.
├── src/
│   ├── backend/           # FastAPI backend with AI agent integrations
│   └── frontend/          # React frontend for agent template management
├── deployment/            # Deployment scripts and configs
│   ├── README.md         # Detailed deployment guide
│   ├── docker-compose.yml
│   ├── deploy.sh         # Bash deployment script
│   ├── deploy.ps1        # PowerShell deployment script
│   └── test-deployment.* # Testing scripts
├── infra/                # Azure infrastructure templates
└── azure.yaml           # Azure Developer CLI config

Getting Started

1. Explore Templates: Visit aifoundry.app to browse available agent templates
2. Choose Your Agent: Select from GitHub Copilot, Devin, or Azure AI Foundry models
3. Customize Patterns: Modify multi-agent workflows to fit your specific requirements
4. Deploy & Test: Use integrated development environments to test your solutions
5. Collaborate: Share and iterate on agent-driven software engineering solutions

Contributing

This project is in active development. Contributions, feedback, and suggestions are welcome as we build the future of agent-driven software engineering.

License

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

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🚀 Live Demo: aifoundry.app
🔗 Devin Session: https://app.devin.ai/sessions/73bc742bdcf84ca7adb544e44eaf542f
👤 Requested by: @thegovind