Generative Ai For Software Developers
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Generative Ai For Software Developers
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Author : Saurabh Shrivastava
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-10-10
Generative Ai For Software Developers written by Saurabh Shrivastava and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-10 with Computers categories.
Master Generative AI in software development with hands-on guidance, from coding and debugging to testing and deployment, using GitHub Copilot, Amazon Q Developer, and OpenAI APIs to build scalable, AI-powered applications Key Features Hands-on guidance for mastering AI-powered coding, debugging, and deployment with real-world examples Comprehensive coverage of GenAI concepts, prompt engineering, fine-tuning, and SDLC integration Practical strategies for architecting and scaling production-ready AI-driven applications Book DescriptionGenerative AI for Software Developers is your practical guide to mastering AI-powered development and staying ahead in a fast-changing industry. Through a structured, hands-on approach, this book helps you understand, implement, and optimize Generative AI in modern software engineering. From AI-assisted coding, debugging, and documentation to testing, deployment, and system design, it equips you with the skills to integrate AI seamlessly into your workflows. You’ll work with tools such as GitHub Copilot, Amazon Q Developer, and OpenAI APIs while learning strategies for prompt engineering, fine-tuning, and building scalable AI-powered applications. Featuring real-world use cases, best practices, and expert insights, this book bridges the gap between experimenting with AI and production deployment. Whether you’re an aspiring AI developer, experienced engineer, or solutions architect, this guide gives you the clarity, confidence, and tactical knowledge to thrive in the GenAI-driven future of software development. Armed with these insights, you’ll be ready to build, integrate, and scale intelligent solutions that enhance every stage of the software development lifecycle.What you will learn Build a secure GenAI application with expert guidance Understand the fundamentals of GenAI and its applications in software engineering Automate coding tasks with tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs Apply AI for debugging, testing, documentation, and deployment workflows Get to grips with prompt engineering and fine-tuning techniques to optimize AI outputs Implement best practices for architecting and scaling AI-powered applications Build end-to-end GenAI projects, moving from experimentation to production Who this book is for This book is for software developers, engineers, architects, and tech professionals who want to understand the core concepts of Generative AI and its real-world applications, master AI-driven development workflows to improve efficiency and code quality, and leverage tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks.
Generative Ai In Software Engineering
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Author : Aguilar-Calderón, José Alfonso
language : en
Publisher: IGI Global
Release Date : 2025-06-13
Generative Ai In Software Engineering written by Aguilar-Calderón, José Alfonso and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
Generative AI transforms the landscape of software engineering, enabling automation, creativity, and efficiency throughout development. By leveraging advanced machine learning models, like large language models and code generation tools, developers can automate code generation, streamline testing, and design software architectures. This shift accelerates development timelines and redefines the roles of engineers and the skills required in modern software teams. As generative AI evolves, its integration into software engineering raises important questions around reliability, security, and human-AI collaboration. Generative AI in Software Engineering explores the evolving role of generative AI in the software engineering landscape. It examines how AI accelerates software development, reduces costs, and enhances creativity, offering real-world benefits for businesses. This book covers topics such as quantum computing, visual intelligence, and environment science, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
Generative Ai In Software Development
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Author : Jesse Sprinter
language : en
Publisher: Independently Published
Release Date : 2023-10-23
Generative Ai In Software Development written by Jesse Sprinter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-23 with categories.
Discover the Future of Software Development Unlock the secrets of Artificial Intelligence and transform the way you develop software. "Generative AI in Software Development" is your essential guide to the latest AI techniques, demystified in clear, simple language. Whether you're a seasoned developer or a newcomer to coding, this book is your ticket to a brighter, more efficient future in software development.
Generative Ai For Software Development
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Author : Seifedine Kadry
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-06-30
Generative Ai For Software Development written by Seifedine Kadry and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
As the field of Artificial Intelligence continues to evolve, Generative AI has emerged as a powerful tool in the realm of software development. AI models capable of generating high-quality, human-like code can significantly accelerate the software development process, assist in troubleshooting, and even automate tasks traditionally performed by human developers. Generative AI models, such as OpenAI, DeepMind, and others, are already demonstrating the ability to write functional code, generate documentation, and assist in code review. These models are not only reducing the time it takes to develop applications but are also making software development more accessible to a broader audience, including non-technical users. This book is intended to serve as a comprehensive guide for developers, technology leaders, and anyone interested in understanding how to leverage Generative AI in software development. It will cover the underlying technology behind these models, practical use cases, integration into development workflows, and ethical considerations. Additionally, it explores how the democratization of coding through AI will shape the future of software engineering. By providing insights into real-world applications and best practices for integrating generative AI into the software lifecycle, this book empowers readers to stay ahead of the technological curve in a rapidly evolving industry.
Generative Ai For Software Developers
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Author : KAMAL. ARORA
language : en
Publisher: Independently Published
Release Date : 2025-03
Generative Ai For Software Developers written by KAMAL. ARORA and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03 with Computers categories.
Generative AI for Software Developers - Winning Strategies and Practical Tactics for AI-Powered Development "Generative AI for Software Developers" is an essential guide to mastering AI-driven development, helping engineers future-proof their careers. This book provides a structured, hands-on approach to understanding, implementing, and optimizing Generative AI tools and techniques in modern software engineering. Covering everything from AI-assisted coding and debugging to system design and deployment, this book equips developers with real-world applications and best practices to integrate AI into their workflows effectively. "A must-read for developers and architects looking to harness Generative AI for software innovation. It provides clear strategies, practical insights, and hands-on examples to master AI-powered development." - David Ping, Head of GenAI/ML Solutions Architecture, AWS "This book demystifies Generative AI and its role in modern software engineering. Whether you're a beginner or an experienced developer, this guide will help you integrate AI effectively into your workflow." - Mrinal Priyadarshi, Senior ML Software Engineer, Amazon "A hands-on guide that bridges theory and practice, helping developers move from experimenting with AI to building production-ready applications." - Luis Lopez, Senior Generative AI Engineer, Google Whether you're an aspiring AI developer or a seasoned software engineer or Solutions Architect, this book will help you navigate the future of software development with Generative AI. What's inside? ✔ Comprehensive Introduction to Generative AI for Developers ✔ Mastering AI-Powered Code Generation & Debugging ✔ Effective Strategies for AI-Driven Software Development ✔ Practical Guide to Prompt Engineering & AI Model Fine-Tuning ✔ Integrating AI into the Software Development Lifecycle (SDLC) ✔ Building Scalable AI-Powered Applications for Real-World Use Cases Who is this book for This book is designed for software developers, engineers, architects, and tech professionals who want to: Understand the core concepts behind Generative AI and its real-world applications. Master AI-driven development workflows to improve efficiency and code quality. Use tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks. Apply AI techniques for debugging, documentation, testing, and deployment. Learn prompt engineering and fine-tuning strategies for optimizing AI outputs. Architect scalable AI-driven applications with well-defined best practices. Why This Book Matters Now The software industry is evolving faster than ever, and developers who understand AI-driven development will have a competitive edge in the job market. Whether you are looking to stay ahead in your current role, enhance your coding efficiency, or explore new career opportunities in AI-driven development, this book will guide you on your journey. Generative AI isn't replacing developers-it's empowering them. Book Outline: Chapter 1 - The Art and Science of Generative AI Chapter 2 - Getting Started with Generative AI Chapter 3 - Generative AI Architecture Fundamentals Chapter 4 - Generative AI in Software Development Chapter 5 - Prompt Engineering for Software Developers Chapter 6 - Integrating Generative AI into the Software Development Cycle Chapter 7 - Generative AI for Specific Programming Tasks Chapter 8 - Generative AI Application Architecture & Design Chapter 9 - Reinforcement Learning and Agentic AI Architecture Chapter 10 - Well-Architecting and Fine-Tuning Generative AI Applications Chapter 11 - Hands-On Guide to Building a Generative AI App
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Author :
language : en
Publisher: "O'Reilly Media, Inc."
Release Date :
written by and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Impact Of Generative Ai On Software Development
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Author :
language : en
Publisher:
Release Date : 2024
Impact Of Generative Ai On Software Development written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Generative Analysis
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Author : Jim Arlow
language : en
Publisher: Addison-Wesley Professional
Release Date : 2025-06-30
Generative Analysis written by Jim Arlow and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Learn Generative Analysis--a New Method of Object-Oriented Analysis--to Keep Pace with How Generative AI Is Transforming the Face of Software Engineering Generative AI is revolutionizing software engineering--many aspects of manual coding are becoming automated, and the skills needed by software engineers, developers, and analysts are evolving. Anyone who writes or works with code will need to produce precise analysis artifacts to feed the AI code-generation process. Enter generative analysis: a precise, structured way for software engineers, programmers, and analysts to transition to this new, AI-enhanced software engineering world. In Generative Analysis, experts Jim Arlow and Ila Neustadt leverage Literate Modeling, M++, and multivalent logic to lay out a step-by-step approach to object-oriented analysis that produces clear and unambiguous results suitable for further processing into code by generative AI systems such as Copilot, ChatGPT, and Gemini. Prepare for the challenge of the future by understanding the flexibility you already have at hand using generative analysis. Gain a new perspective on the shift to generative AI-based programming models Understand how generative analysis artifacts feed generative AIs to generate code and UML models Explore techniques that feed into and refine each other until a precise analysis definition of a software system is achieved Recognize milestones and end points to eliminate "analysis paralysis" Learn to work at the right level of abstraction to leverage the most power from generative AI Gain understanding from real-world, detailed examples of prompts and AI responses This guide teaches advanced, precise, and sophisticated analysis techniques that will allow you to thrive in the new world of software engineering with generative AI. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Generative Ai In Software Development
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Author : Sairohith Thummarakoti
language : en
Publisher: Productivity Press
Release Date : 2026-06
Generative Ai In Software Development written by Sairohith Thummarakoti and has been published by Productivity Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-06 with Business & Economics categories.
Generative AI in Software Development: Practical Ways AI is Building the Future of Code explores how large language models and generative tools are fundamentally changing the way software is created, tested, and maintained. This isn't a theoretical or academic deep dive it's a practical, grounded guide for developers, product teams, and tech leaders who want to understand how generative AI can be embedded into real-world software workflows. From writing and debugging code to generating UI components, managing APIs, and automating deployment tasks, this book shows how AI is becoming a true co-developer. What sets this book apart is its balance: it's not just for hardcore engineers, nor is it a high-level overview filled with buzzwords. Instead, it sits at the intersection technical enough to be useful, but accessible enough for product managers and decision-makers. The industry is at an inflection point where AI-assisted development is no longer optional; it's becoming essential. This book fills the gap for those who want to move beyond the hype and see exactly how generative AI can speed up development, improve code quality, and change the economics of software delivery.
Generative Ai For Software Engineers The Journey Begins
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Author : Naresh Dulam
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2023-07-23
Generative Ai For Software Engineers The Journey Begins written by Naresh Dulam and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-23 with Computers categories.
This book assists software engineers as they explore the realm of Artificial Intelligence (AI), providing essential tools and techniques for creating new AI-powered applications or adding AI functionalities to their current projects. Significant advancements in AI and machine learning (ML) frameworks have allowed software engineers to easily integrate intelligent capabilities into their products or projects in the last ten years. The introduction of ChatGPT in late 2022 brought Generative AI into the spotlight. Although abundant information is available online, software engineers need help finding a clear entry point like 101 to learn fundamentals. This guide simplifies the core concepts, gradually addressing more advanced topics to enable you to create practical, production-ready AI solutions with concrete code examples. Note: This book simplifies complex concepts by applying abstractions for software engineers to grasp the basics of Generative AI.