AI-Assisted & Generative Software Engineering

De: Ajit Singh

Narrado por: Virtual Voice

"AI-Assisted & Generative Software Engineering" is a comprehensive, practical, and forward-looking guide designed to equip the next generation of software engineers with the skills required to thrive in an AI-driven world. This book meticulously demystifies the integration of artificial intelligence across the entire software development lifecycle (SDLC), transforming it from a theoretical concept into a set of tangible, applicable skills.


Key Features:


1. Hands-On Approach: Every chapter includes practical examples, tutorials, and case studies. The emphasis is on "doing" rather than just "reading."
2. Beginner to Advanced: The book caters to a wide audience, starting with fundamental AI concepts for beginners and advancing to complex topics like AIOps and autonomous AI agents for advanced learners.
3. Focus on Modern Tools: Gain practical experience with industry-standard tools like GitHub Copilot, Amazon CodeWhisperer, and various LLM-powered platforms.
4. Full SDLC Coverage: Explore how AI impacts every phase of software development, from requirements gathering and design to coding, testing, deployment, and maintenance.
5. Capstone Project: A detailed, end-to-end project in the final chapter allows readers to synthesize their knowledge by building a complete, portfolio-worthy application using AI assistance.
6. Ethical Focus: A dedicated chapter addresses the critical ethical considerations, biases, and responsibilities associated with using AI in software engineering.
7. Clear and Accessible Language: Complex topics are broken down into simple, easy-to-understand explanations, making the book accessible to students from diverse backgrounds.


To Whom This Book Is For:


1. B.Tech/B.E. Students: An essential textbook for undergraduate students in Computer Science, Information Technology, and related engineering disciplines. It serves as a primary resource for courses on Software Engineering, AI, and modern programming practices.
2. M.Tech/M.E. Students: A valuable resource for postgraduate students specializing in Software Engineering or Artificial Intelligence, offering in-depth coverage of advanced topics and research directions.
3. Aspiring Software Developers & Recent Graduates: The perfect guide to gain a competitive edge in the job market by mastering the AI-powered tools and workflows that top tech companies are adopting.
4. Experienced Professionals & Team Leads: An upskilling manual for practicing software engineers, architects, and managers who need to understand and integrate AI into their teams' development processes.
5. Educators and Faculty: A ready-to-use, NEP-compliant resource for designing and teaching modern software engineering courses, complete with practical examples and a capstone project.


The culmination of this learning journey is a comprehensive capstone project in the final chapter. This is where theory meets practice in the most tangible way possible. You will build a complete, live application from scratch, using AI assistance at every step—from ideation and design to coding, testing, and documentation. This project serves as a testament to the skills you will acquire and a portfolio-ready demonstration of your proficiency in modern software engineering.