This repository serves as a practical demonstration of using Augment Code to rapidly develop web applications through natural language programming. The project showcases how developers can describe their requirements in plain English and generate a complete, production-ready Flask application with Docker containerization.

• Natural Language Development: Built entirely using conversational instructions with Augment Code
• Complete Application Stack: Flask backend, HTML templates, Docker containerization, and CI/CD pipeline
• Best Practices: Proper project structure, dependency management, and deployment configuration
• Rapid Prototyping: From concept to running application in minutes, not hours

• Responsive Flask web application
• Docker containerization with multi-stage builds
• GitHub Actions CI/CD pipeline
• Comprehensive documentation and setup instructions
• Production-ready configuration

This example illustrates the power of AI-assisted development for creating functional web applications quickly while maintaining code quality and industry standards.

docker-compose up --build

# Build the image docker build -t python-web-app . # Run the container docker run -p 8888:8888 python-web-app

# Install dependencies pip install -r requirements.txt # Run the application python app.py

Once running, open your browser and navigate to:

• http://localhost:8888

. ├── .github/ │ └── workflows/ │ └── build-scan-push.yml # GitHub Actions CI/CD pipeline ├── templates/ │ └── index.html # HTML template ├── app.py # Main Flask application ├── requirements.txt # Python dependencies ├── Dockerfile # Docker configuration ├── docker-compose.yml # Docker Compose configuration └── README.md # This file 

• Python 3.11
• Flask 2.3.3
• Docker