Generative Ai For Software Development
DOWNLOAD
Download Generative Ai For Software Development PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Generative Ai For Software Development book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
DOWNLOAD
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.
Generative Ai For Software Development
DOWNLOAD
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
DOWNLOAD
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 For Effective Software Development
DOWNLOAD
Author : Anh Nguyen-Duc
language : en
Publisher: Springer Nature
Release Date : 2024-05-31
Generative Ai For Effective Software Development written by Anh Nguyen-Duc and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
This book provides a comprehensive, empirically grounded exploration of how Generative AI is reshaping the landscape of software development. It emphasizes the empirical evaluation of Generative AI tools in real-world scenarios, offering insights into their practical efficacy, limitations, and impact. By presenting case studies, surveys, and interviews from various software development contexts, the book offers a global perspective on the integration of Generative AI, highlighting how these advanced tools are adapted to and influence diverse cultural, organizational, and technological environments. This book is structured to provide a comprehensive understanding of Generative AI and its transformative impact on the field of software engineering. The book is divided into five parts, each focusing on different aspects of Generative AI in software development. As an introduction, Part 1 presents the fundamentals of Generative AI adoption. Part 2 is a collection of empirical studies and delves into the practical aspects of integrating Generative AI tools in software engineering, with a focus on patterns, methodologies, and comparative analyses. Next, Part 3 presents case studies that showcase the application and impact of Generative AI in various software development contexts. Part 4 then examines how Generative AI is reshaping software engineering processes, from collaboration and workflow to management and agile development. Finally, Part 5 looks towards the future, exploring emerging trends, future directions, and the role of education in the context of Generative AI. The book offers diverse perspectives as it compiles research and experiences from various countries and software development environments. It also offers non-technical discussions about Generative AI in management, teamwork, business and education. This way, it is intended for both researchers in software engineering and for professionals in industry who want to learn about the impactof Generative AI on software development.
Generative Ai In Software Engineering
DOWNLOAD
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
DOWNLOAD
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 In Software Development
DOWNLOAD
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.
Impact Of Generative Ai On Software Development
DOWNLOAD
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.
Mastering Generative Ai In The Software Development Life Cycle
DOWNLOAD
Author : Anand Vemula
language : en
Publisher: Independently Published
Release Date : 2024-06
Mastering Generative Ai In The Software Development Life Cycle written by Anand Vemula and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06 with Computers categories.
**Mastering Generative AI in the Software Development Life Cycle** explores the transformative potential of generative AI in modern software development. This comprehensive guide walks readers through integrating AI technologies across each phase of the Software Development Life Cycle (SDLC), from requirements gathering and system design to implementation, testing, deployment, and maintenance. The book begins with an overview of generative AI, explaining its core concepts, historical development, and diverse applications. It underscores the importance of the SDLC, contrasting traditional and agile methodologies, and addressing contemporary challenges in software development. In the system design phase, readers learn how AI can automate architectural design, create rapid prototypes, and optimize resource allocation. The implementation chapter highlights AI-assisted code generation, presenting best practices for ensuring the quality and maintainability of AI-generated code. Version control and collaboration tools are also discussed to streamline the development process. Testing is revolutionized through AI-driven automated test case generation, bug detection, and continuous integration and deployment (CI/CD). Real-world examples illustrate how AI can enhance efficiency and accuracy in these critical activities. The deployment chapter delves into AI for deployment optimization, including predictive analysis, automated rollbacks, and resource management. It also covers AI-powered monitoring and maintenance, with techniques for anomaly detection, predictive maintenance, and automated scaling. Maintenance and evolution are addressed with a focus on predictive maintenance using AI, adapting AI models to changing requirements, and exploring future trends like self-healing systems and advanced predictive analytics. Ethical and legal considerations, such as bias mitigation, transparency, accountability, and compliance with regulations like GDPR and HIPAA, are thoroughly examined. Industry case studies demonstrate AI's impact on various sectors, including finance, healthcare, and e-commerce. These examples show how AI enhances fraud detection, disease prediction, personalized recommendations, and more. The book also provides an overview of essential AI tools and technologies, offering guidance on integrating them into SDLC pipelines. It concludes with insights into emerging trends and the future of AI in software development, preparing readers for the evolving landscape of AI-driven development. **Mastering Generative AI in the Software Development Life Cycle** is an essential resource for developers, engineers, and tech enthusiasts aiming to harness AI's power to innovate and optimize their software development processes.
Harnessing Generative Ai For Software Development Engineering Excellence
DOWNLOAD
Author : Dr Partha Majumdar
language : en
Publisher: Dr Partha Majumdar
Release Date : 2025-11-03
Harnessing Generative Ai For Software Development Engineering Excellence written by Dr Partha Majumdar and has been published by Dr Partha Majumdar this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-03 with Computers categories.
Generative Artificial Intelligence is rewriting the rules of software creation. What once demanded thousands of lines of hand-crafted code can now be generated through intelligent collaboration between humans and machines. Harnessing Generative AI for Software Development & Engineering Excellence is the definitive guide to mastering this new era — where programming becomes a dialogue, and engineering evolves into a partnership of creativity, cognition, and code. This book captures a revolution in progress. It reveals how AI is transforming every stage of the Software Development Lifecycle (SDLC)—from concept to deployment—enabling engineers to build faster, smarter, and more resilient systems. Moving beyond automation, it shows how AI amplifies human ingenuity, allowing developers to focus on design, quality, and strategy rather than repetitive tasks. Across six compelling chapters, Dr Partha Majumdar takes you through the full spectrum of intelligent software engineering: AI-Assisted Coding: Discover how to turn natural language prompts into production-ready code, leveraging tools like GitHub Copilot, Amazon CodeWhisperer, and ChatGPT. Learn the art of prompt engineering and quality control to build faster without compromising reliability. Workflow Optimisation: Automate documentation, API generation, and system design using AI, creating seamless development pipelines that operate with precision and consistency. Testing and Quality Assurance: Explore how AI can automatically generate test cases, predict bugs, detect vulnerabilities, and ensure security long before deployment. DevOps and Deployment: Witness AI’s evolution into a strategic operations partner — automating infrastructure with Terraform and Ansible, optimising CI/CD pipelines, and enabling predictive AIOps that self-heal and scale intelligently. Ethical and Strategic Oversight: Understand the boundaries of AI collaboration—why human judgment, transparency, and integrity are vital in guiding autonomous systems toward responsible innovation. Each chapter blends philosophical insight with practical application, offering frameworks, patterns, and case studies that illustrate how to integrate AI meaningfully into your development workflow. The book’s unifying message is clear: AI does not replace engineers—it elevates them. The engineer’s role is evolving from instruction to orchestration, from coding to curating intelligence. Drawing upon over three decades of global experience in software engineering, leadership, and AI-driven transformation, Dr Partha Majumdar presents an authoritative yet accessible guide for developers, architects, and technology leaders. His career journey—from building enterprise systems at JPMorgan Chase and Mobily to leading AI-driven consultancies—infuses this book with real-world credibility and visionary foresight. Beyond being a technical manual, this work is a manifesto for a new generation of engineers who will design systems that think, learn, and adapt. It teaches how to build collaboration between human intuition and machine intelligence, how to balance automation with accountability, and how to achieve excellence through ethical innovation. Whether you are a developer exploring AI-assisted tools, a manager reimagining software delivery pipelines, or a researcher studying intelligent automation, this book offers the principles and practices you need to thrive in the decade of AI. Generative AI is not the end of software engineering—it is its renaissance. This book shows you how to lead that renaissance with confidence, clarity, and conscience.