Building a Full-Stack Budget Tracker Application with Amazon Q CLI

This is series of event - Amazon Q Developer

Description:
Join us for a hands-on, interactive session where we’ll explore how to build a production-ready Budget Tracker application using the Amazon Q CLI—AWS's AI-powered coding assistant.
In this meetup, we’ll walk through an iterative development process starting from scratch and evolving into a full-stack app. You’ll learn how to:

• Use Behavior-Driven Development (BDD) for feature planning
• Apply Test-Driven Development (TDD) to validate functionality
• Auto-generate and refine code using Amazon Q CLI
• Build a REST API with Flask and a responsive UI
• Deploy using Docker, and test endpoints with Postman

📚 You’ll walk away with: ✅ A working budget tracker app
✅ A practical understanding of AI-assisted development
✅ Access to all prompts, code, and learning resources on GitHub
🎯 Who Should Attend:

• Developers exploring GenAI tools like Amazon Q
• Cloud and full-stack enthusiasts
• Anyone curious about practical AI for coding

Blogs:

TDD vs BDD with Amazon Q Developer: Why Test-Driven Development Shines with Code Assistants - https://blog.dataopslabs.com/tdd-vs-bdd-with-amazon-q-developer-why-test-driven-development-shines-with-code-assistants
Building a Full-Stack Budget Tracker Application with Amazon Q CLI - https://blog.dataopslabs.com/building-a-full-stack-budget-tracker-application-with-amazon-q-cli-an-iterative-approach
Deploying a Flask Application to AWS Fargate with Amazon Q - https://blog.dataopslabs.com/deploying-a-flask-application-to-aws-fargate-with-amazon-q-a-journey-of-no-touch-coding

Github Code:
https://github.com/jayyanar/simple-budget-tracker

Step by Step Prompt: https://github.com/jayyanar/simple-budget-tracker/blob/main/MYPROMPT.md