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{ "item_title" : "Prompt Engineering in AI-Driven CRUD Development", "item_author" : [" Ashen Shanuka "], "item_description" : "As generative artificial intelligence reshapes modern software development, prompt engineering has emerged as a critical skill for maximizing the effectiveness of large language models (LLMs) such as ChatGPT. This book presents a comprehensive and systematic exploration of how prompt engineering influences efficiency, code quality, and security in CRUD (Create, Read, Update, Delete) application development. Drawing on a rigorous systematic literature review of 52 peer-reviewed studies published between 2018 and 2023, the author evaluates the role of AI-assisted coding in automating repetitive tasks, accelerating development cycles, and improving code readability and maintainability. The book critically examines advanced prompting techniques including role-prompting, chain-of-thought prompting, and iterative refinement and their measurable impact on AI-generated code. Beyond productivity gains, the book addresses a crucial and often overlooked dimension: security. It analyzes common error patterns and vulnerabilities in AI-generated CRUD code, highlighting the risks of hallucinations, limited self-verification, and over-reliance on automated outputs. Through evidence-based discussion, the author emphasizes the necessity of continuous human oversight and best-practice security validation. Positioned at the intersection of software engineering and applied artificial intelligence, this work provides valuable insights for software engineers, researchers, educators, and technology leaders. It offers a balanced perspective on human-AI collaboration, demonstrating how developers can responsibly integrate generative AI tools to enhance not replace human expertise in modern application development.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/99/933/393/9999333931_b.jpg", "price_data" : { "retail_price" : "42.50", "online_price" : "42.50", "our_price" : "42.50", "club_price" : "42.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Prompt Engineering in AI-Driven CRUD Development|Ashen Shanuka

Prompt Engineering in AI-Driven CRUD Development : Efficiency, Code Quality, and Security with Large Language Models

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Overview

As generative artificial intelligence reshapes modern software development, prompt engineering has emerged as a critical skill for maximizing the effectiveness of large language models (LLMs) such as ChatGPT. This book presents a comprehensive and systematic exploration of how prompt engineering influences efficiency, code quality, and security in CRUD (Create, Read, Update, Delete) application development. Drawing on a rigorous systematic literature review of 52 peer-reviewed studies published between 2018 and 2023, the author evaluates the role of AI-assisted coding in automating repetitive tasks, accelerating development cycles, and improving code readability and maintainability. The book critically examines advanced prompting techniques including role-prompting, chain-of-thought prompting, and iterative refinement and their measurable impact on AI-generated code. Beyond productivity gains, the book addresses a crucial and often overlooked dimension: security. It analyzes common error patterns and vulnerabilities in AI-generated CRUD code, highlighting the risks of hallucinations, limited self-verification, and over-reliance on automated outputs. Through evidence-based discussion, the author emphasizes the necessity of continuous human oversight and best-practice security validation. Positioned at the intersection of software engineering and applied artificial intelligence, this work provides valuable insights for software engineers, researchers, educators, and technology leaders. It offers a balanced perspective on human-AI collaboration, demonstrating how developers can responsibly integrate generative AI tools to enhance not replace human expertise in modern application development.

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Details

  • ISBN-13: 9789999333931
  • ISBN-10: 9999333931
  • Publisher: Eliva Press
  • Publish Date: January 2025
  • Dimensions: 9 x 6 x 0.11 inches
  • Shipping Weight: 0.19 pounds
  • Page Count: 54

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