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Chess Game with Amazon Q CLI in a Single Prompt

Chess Game with Amazon Q CLI in a Single Prompt

Created a full-featured chess game using Amazon Q CLI from a single prompt,

Published Jun 4, 2025

Introduction

Artificial intelligence is revolutionizing software development by enabling faster, smarter, and more efficient solutions. Amazon Q CLI is a cutting-edge AI development tool that allows developers to generate production-ready applications from natural language prompts. This article demonstrates how Amazon Q CLI was used to build a comprehensive chess game with a single instruction

Project Summary:

This project showcases the effectiveness of Amazon Q CLI in producing well-structured, full-stack code for a chess game with professional-grade functionality. Built with a Python Flask backend and a modern frontend stack using JavaScript, HTML, and CSS, the application delivers a seamless and interactive gameplay experience

Installation and Setup:

I Refer these two blogs for my installation and Amazon Q CLI Setup
Prompt Provided to Amazon Q CLI
Create a chess game using with the following features:* Full chess rules* Move validation* Undo move* Captured pieces display* Responsive design"
Developer Insight:
Think Q CLI is only for writing code? Think again. It also helps you debug, optimize, and understand your code — all in one prompt.
Clear Explanation About The Game that is Given By Amazon Q CLI
### Features Implemented:
1. Full Chess Rules
• All standard piece movements
• Castling (kingside and queenside)
• En passant captures
• Pawn promotion (auto-promotes to queen)
• Check and checkmate detection
• Legal move validation
2. Move Validation
• Prevents illegal moves
• Highlights valid moves when a piece is selected
• Prevents moving into check
• Validates special moves like castling conditions
3. Undo Move
• Button to undo the last move
• Restores captured pieces
• Handles special moves like castling and en passant
4. Captured Pieces Display
• Shows captured pieces for both white and black
• Organized in separate sections
5. Responsive Design
• Adapts to different screen sizes
• Adjusts board and piece sizes for mobile devices

How to Play

  • Click on a piece to select it
  • Valid moves will be highlighted
  • Click on a highlighted square to move the selected piece
  • Use the "Undo Move" button to take back a move
  • Use the "New Game" button to reset the board

OUTPUT:

Results :

Amazon Q CLI successfully produced a high-quality, functional application with minimal manual revision. The backend logic, UI interactions, and game mechanics were implemented in a clear, modular, and scalable manner — validating the power of prompt-based development.
Repository Access Explore the full source code here: GitHub Repository

Conclusion

This project highlights how Amazon Q CLI can dramatically accelerate development workflows. By simply describing the desired functionality, developers can generate full-stack applications ready for testing and deployment. The chess game stands as a strong example of how AI tools are reshaping the future of software engineering
 

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