This is a submission for the Amazon Q Developer "Quack The Code" Challenge: Crushing the Command Line

What I Built

I built a CLI-based automation tool called Terraform Automation Tool that simplifies and streamlines the process of managing and bootstrapping AWS infrastructure lab environments using Terraform. The tool allows developers and educators to:

  • Choose from a list of pre-configured AWS labs (e.g., 3-tier architecture, static websites, RDS setup).
  • Automatically generate, configure, and deploy the necessary Terraform code.
  • Customize lab scaffolding interactively using a cross-platform terminal interface.

This solves the problem of manual setup and error-prone provisioning of AWS labs, especially useful for students, trainers, and workshop facilitators who want to spin up consistent and reproducible environments quickly.

Demo

Here's a quick demo of the tool in action:

The CLI interface is intuitive and works across macOS, Linux, and Windows.

Code Repository

Explore the full project here:
🔗 GitHub – vuongbachdoan/terraform-automation-bot

How I Used Amazon Q Developer

Amazon Q Developer was instrumental in shaping both the design and functionality of this CLI-based tool. It supported me in building a smart, task-driven menu with the following interactive options:

? What do you want to do?
>   ✨ Generate Terraform Folder Structure
    ✨ Optimize Terraform Source Code
    ✨ Check for Security Issues
    ✨ Deploy Terraform Resources
    ✨ Destroy Terraform Resources

Here’s how Amazon Q Developer contributed throughout the development process:

  • 🛠️ Generated Terraform scaffolding logic for the “Generate Terraform Folder Structure” option, ensuring clean, modular layouts that follow best practices.
  • 🚀 Recommended optimizations for Terraform source code by highlighting unused variables, redundant resources, and performance tweaks.
  • 🔐 Guided me in integrating security checks, helping build logic to detect exposed credentials, misconfigured IAM policies, and open ports.
  • 📦 Assisted with deployment and teardown workflows by suggesting reliable patterns for terraform apply and terraform destroy, including state locking and error handling.

Amazon Q served as a real-time AI collaborator that accelerated the build process, reduced trial-and-error, and made the CLI smarter and safer for any user working with AWS infrastructure.

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