AI Code Reviewer 🤖

An intelligent code review system powered by Google's Gemini AI and deployed on AWS cloud infrastructure.

🌟 Features

• AI-Powered Analysis: Real-time code feedback using Gemini AI
• Cloud-Native: AWS deployment with containerized architecture
• Interactive UI: Rich code editor with syntax highlighting
• Scalable: Elastic Container Service with auto-scaling
• Secure: AWS security best practices and encrypted data storage

🛠️ Tech Stack

• Frontend: React.js, Monaco Editor
• Backend: Python Flask
• Database: PostgreSQL (AWS RDS)
• Cloud: AWS (ECS, ECR, RDS, ALB)
• AI: Google Gemini AI
• Infrastructure: Docker, Terraform

🚀 Quick Start

Prerequisites

• Node.js 16+
• Python 3.9+
• Docker Desktop
• AWS CLI
• Google Gemini API key

Local Development

1. Clone repository

git clone https://github.com/yourusername/ai-code-reviewer.git
cd ai-code-reviewer

2. Set up environment variables Create .env file:

POSTGRES_USER=postgres
POSTGRES_PASSWORD=yourpassword
POSTGRES_DB=ai_review
DATABASE_URL=postgresql://postgres:yourpassword@localhost:5432/ai_review
GEMINI_API_KEY=your_gemini_api_key

3. Start containers

docker-compose up --build

🌩️ AWS Deployment

1. Push to ECR

aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com
docker push ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/ai-code-reviewer:latest

📡 API Endpoints

Endpoint	Method	Description
/api/analyze	POST	Submit code for analysis
/api/health	GET	Service health check

🔐 Security

• SSL/TLS encryption
• AWS WAF protection
• Secrets management
• VPC isolation
• Regular security patches

📊 Monitoring

• CloudWatch metrics
• ECS insights
• RDS monitoring
• Application logs

🤝 Contributing

1. Fork repository
2. Create feature branch

git checkout -b feature/amazing-feature

3. Commit changes

git commit -m 'Add amazing feature'

4. Push and create PR

📄 License

MIT License - see LICENSE.md

📞 Support

• Create GitHub issue
• Documentation: docs/

✅ Environment Variables

Local Development

REACT_APP_API_URL=http://localhost:5000
POSTGRES_USER=postgres
POSTGRES_PASSWORD=local

Production

REACT_APP_API_URL=https://api.aicodereview.com
DATABASE_URL=postgresql://${RDS_USER}:${RDS_PASS}@${RDS_ENDPOINT}:5432/ai_review

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Note: Replace placeholder values before deployment.