Generative AI for Full-Stack Development: AI Empowered Accelerated Coding
暫譯: 全端開發的生成式 AI：AI 驅動的加速編碼

Baruah, Shantanu

Generative AI for Full-Stack Development: AI Empowered Accelerated Coding
  • 出版商: Apress
  • 出版日期: 2026-01-03
  • 售價: $1,960
  • 貴賓價: 9.8 折 $1,921
  • 語言: 英文
  • 頁數: 279
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868820731
  • ISBN-13: 9798868820731
  • 相關分類: Node.js、React、MongoDB、Prompt Engineering

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

獲得在 AI 協助下構建全棧網頁應用程式的尖端技能。本書將指導您使用 React 和 Node.js 創建自己的旅遊應用程式，並以 MongoDB 作為資料庫，同時強調使用 Gen AI 平台如 Perplexity.ai 和 Claude 來加快開發速度和提高除錯準確性。

本書的逐步方法將幫助您彌合傳統網頁開發方法與現代 AI 協助技術之間的差距，使其既易於理解又富有洞見。它提供了有關專業網頁應用程式開發實踐的寶貴課程。通過專注於實際範例，本書提供了與現實場景相符的實作經驗，使您具備相關且需求量大的技能，這些技能可以輕鬆轉移到其他專案中。

本書強調響應式設計的原則，教您如何創建能夠無縫適應不同螢幕大小和設備的網頁應用程式。這包括使用流體網格、媒體查詢，並優化佈局以提高在各種平台上的可用性。您還將學習如何使用 MongoDB 設計、管理和查詢資料庫，確保您能有效處理應用程式中的資料儲存和檢索。最重要的是，本書將介紹生成式 AI 工具和提示工程技術，這些技術可以加速編碼和除錯過程。這種現代方法將簡化開發工作流程並提高生產力。

在本書結束時，您不僅將學會如何從後端到前端創建完整的網頁應用程式，並進行資料庫管理，還將獲得寶貴的相關技能，例如使用 IDE、版本控制，以及有效且高效地使用 AI 部署應用程式。

您將學到的內容


  • 如何從零開始構建全棧網頁應用程式

  • 如何使用生成式 AI 工具來提高編碼效率並簡化開發過程

  • 如何創建增強整體體驗的用戶友好介面

  • 如何使用 MongoDB 設計、管理和查詢資料庫

本書適合誰

前端開發人員、後端開發人員和全棧開發人員。

作者簡介

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.

作者簡介(中文翻譯)

Shantanu Baruah 是 Hexaware 的醫療保健、生命科學和保險垂直領域的總裁及全球負責人。他負責推動全球策略、客戶成功和 HLS 垂直領域的增長。他的重點領域包括擴展數位健康能力、加速以 AI 為主導的轉型，以及加強以領域為驅動的交付。他在醫療保健和生命科學行業擁有超過 25 年的經驗，並在建立高效能的全球團隊和領導複雜的客戶轉型方面有著良好的記錄。在加入目前的公司之前，他曾擔任 HCLTech 的執行副總裁，負責北美的生命科學與醫療保健業務。除了他的高管職位外，Shantanu 還是多篇有關醫療技術、知識管理、數位體驗以及大數據對支付者和提供者影響的論文和書籍的出版作者。Shantanu 積極參與應用程式開發社群，並在 Apple App Store 上擁有一款獲批准的應用程式。他被《IT 服務報告》評選為 2020 年前 25 名醫療保健 IT 高管之一。Shantanu 住在新澤西州。他的慈善活動包括為發展中國家的兒童提供教育。

Nitara Baruah 是羅格斯預備學校的高二學生。在學校，她參加模擬聯合國和 JV 網球。她因在單一年內達成 50 小時以上的志願服務而受到學校的表彰，並獲得榮譽社區服務獎。她的服務亮點包括在 Aceing Autism 志願服務，幫助有特殊需求的兒童學習網球，以及 Tend to a Friend。課外，她完成了一個 Inspirit AI Scholars 課程，這是一個為期兩週的選拔性研究計畫，專注於使用名為 COMPAS 的 AI 工具在法庭上預測罪犯再犯可能性時的倫理問題。在研究這個主題時，她實施了線性和邏輯回歸、神經網絡、卷積神經網絡和自然語言處理的部分，並展示了團隊合作技能、理解複雜主題和研究能力。她還參加了 TARGET，這是一個在羅格斯大學的選拔性 STEM 計畫，在那裡她合作設計、建模（使用 TinkerCAD）並建造了一艘基於浮力原則的功能性獨木舟。她設計的其他項目包括使用 Python 和 Arduino 的反應時間遊戲、一座承載電池的橋樑，以及一個迷你步行機器人。

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