Generative AI for Full-Stack Development - by Shantanu Baruah (Paperback)

Book Synopsis

Gain cutting-edge skills in building a full-stack web application with AI assistance. This book will guide you in creating your own travel application using React and Node.js, with MongoDB as the database, while emphasizing the use of Gen AI platforms like Perplexity.ai and Claude for quicker development and more accurate debugging.

The book's step-by-step approach will help you bridge the gap between traditional web development methods and modern AI-assisted techniques, making it both accessible and insightful. It provides valuable lessons on professional web application development practices. By focusing on a practical example, the book offers hands-on experience that mirrors real-world scenarios, equipping you with relevant and in-demand skills that can be easily transferred to other projects.

The book emphasizes the principles of responsive design, teaching you how to create web applications that adapt seamlessly to different screen sizes and devices. This includes using fluid grids, media queries, and optimizing layouts for usability across various platforms. You will also learn how to design, manage, and query databases using MongoDB, ensuring you can effectively handle data storage and retrieval in your applications. Most significantly, the book will introduce you to generative AI tools and prompt engineering techniques that can accelerate coding and debugging processes. This modern approach will streamline development workflows and enhance productivity.

By the end of this book, you will not only have learned how to create a complete web application from backend to frontend, along with database management, but you will also have gained invaluable associated skills such as using IDEs, version control, and deploying applications efficiently and effectively with AI.

What You Will Learn

• How to build a full-stack web application from scratch
• How to use generative AI tools to enhance coding efficiency and streamline the development process
• How to create user-friendly interfaces that enhance the overall experience of your web applications
• How to design, manage, and query databases using MongoDB

Who This Book Is For

Frontend developers, backend developers, and full-stack developers.

From the Back Cover

Gain cutting-edge skills in building a full-stack web application with AI assistance. This book will guide you in creating your own travel application using React and Node.js, with MongoDB as the database, while emphasizing the use of Gen AI platforms like Perplexity.ai and Claude for quicker development and more accurate debugging.

The book's step-by-step approach will help you bridge the gap between traditional web development methods and modern AI-assisted techniques, making it both accessible and insightful. It provides valuable lessons on professional web application development practices. By focusing on a practical example, the book offers hands-on experience that mirrors real-world scenarios, equipping you with relevant and in-demand skills that can be easily transferred to other projects.

The book emphasizes the principles of responsive design, teaching you how to create web applications that adapt seamlessly to different screen sizes and devices. This includes using fluid grids, media queries, and optimizing layouts for usability across various platforms. You will also learn how to design, manage, and query databases using MongoDB, ensuring you can effectively handle data storage and retrieval in your applications. Most significantly, the book will introduce you to generative AI tools and prompt engineering techniques that can accelerate coding and debugging processes. This modern approach will streamline development workflows and enhance productivity.

By the end of this book, you will not only have learned how to create a complete web application from backend to frontend, along with database management, but you will also have gained invaluable associated skills such as using IDEs, version control, and deploying applications efficiently and effectively with AI.

What You Will Learn

• How to build a full-stack web application from scratch
• How to use generative AI tools to enhance coding efficiency and streamline the development process
• How to create user-friendly interfaces that enhance the overall experience of your web applications
• How to design, manage, and query databases using MongoDB

About the Author

Shantanu Baruah is the President and Global Head of Healthcare, Life Sciences and Insurance vertical at Hexaware. He is responsible for driving global strategy, client success, and growth across the HLS vertical. His focus areas include expanding digital health capabilities, accelerating AI-led transformation, and strengthening domain-driven delivery. He brings over 25 years of experience in the healthcare and life sciences industry, with a strong track record in building high-performing global teams and leading complex client transformations. Prior to joining his current company, he served as Executive Vice President at HCLTech, where he led the Life Sciences & Healthcare business in North America. In addition to his executive roles, Shantanu is a published author of several papers and books on healthcare technology, knowledge management, digital experience, and the impact of big data on payers and providers. Shantanu is active in the app development community and has an approved app on Apple App Store. He has been recognized as one of the top 25 Healthcare IT Executives of 2020 by The IT Services Report. Shantanu lives in New Jersey. His philanthropic outreach includes education for children in developing nations.

Nitara Baruah is a high school sophomore at Rutgers Preparatory School. At school, she participates in Model UN and JV tennis. She was recognized by the school for achieving 50+ hours of volunteering in a single year and received an Honors Community Service Award. Highlights from her service include volunteering at Aceing Autism, where she helped children with special needs learn tennis, and Tend to a Friend. Outside of school, she completed an Inspirit AI Scholars Course, a selective two-week research program that focused on the ethical issues when using an AI tool named COMPAS in the courtroom to predict a criminal's likelihood of recidivism. She implemented segments of linear and logistic regression, neural networks, convolutional neural networks, and NLPs when researching this topic and demonstrated teamwork skills, understanding complex topics, and research. She also attended TARGET, a selective STEM program at Rutgers University, where she collaborated to design, model (using TinkerCAD), and build a functional canoe based on principles of buoyancy. Other projects she engineered include a reaction-time game using Python & Arduino, a battery-bearing bridge, and a miniature walking robot.