Generative AI in Software Development: A Practical Guide for Engineering Leaders
暫譯: 軟體開發中的生成式 AI：工程領導者的實用指南
Thummarakoti, Sairohith, Chillarige, Raghavendra Rao, Maddali, Ramesh
- 出版商: Productivity Press
- 出版日期: 2026-06-23
- 售價: $6,200
- 貴賓價: 9.5 折 $5,890
- 語言: 英文
- 頁數: 360
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 104121801X
- ISBN-13: 9781041218012
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相關分類:
AI Coding
尚未上市，無法訂購
商品描述
Generative AI in Software Development: A Practical Guide for Engineering Leaders 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 become 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.
商品描述(中文翻譯)
《生成式人工智慧在軟體開發中的應用：工程領導者的實用指南》探討了大型語言模型和生成工具如何根本改變軟體的創建、測試和維護方式。這不是一個理論或學術的深入探討；而是一本針對開發者、產品團隊和技術領導者的實用指南，幫助他們理解如何將生成式人工智慧嵌入到現實世界的軟體工作流程中。從編寫和除錯程式碼到生成使用者介面元件、管理API和自動化部署任務，本書展示了人工智慧如何成為真正的共同開發者。
本書的獨特之處在於其平衡性：它不僅僅是針對硬核工程師，也不是充滿流行術語的高層次概述。相反，它位於技術與可及性之間，對產品經理和決策者來說既有用又易於理解。當前行業正處於一個轉折點，人工智慧輔助開發不再是可選的；它已成為必需。本書填補了那些希望超越炒作，並確切了解生成式人工智慧如何加速開發、改善程式碼質量以及改變軟體交付經濟學的讀者的需求。
作者簡介
Sairohith Thummarakoti is a Lead Architect specializing in intelligent automation, AI-powered cloud infrastructure, and healthcare technology. He has authored multiple books on AI and cloud computing and has peer-reviewed over 300 research papers for leading IEEE and Springer journals and conferences. As the Founding Chair of the IEEE Computer Society - Columbia Section, he regularly delivers invited talks, faculty development programs, and training sessions for academic and industry audiences worldwide.
Dr. Chillarige Raghavendra Rao, retired Senior Professor at the University of Hyderabad's School of Computer & Information Sciences, holds a PhD in Statistics and an M.Tech in Computer Science & Engineering from Osmania University. Over his career, he supervised 15 PhDs, published 200+ papers, and secured two international patents in simulation, modeling, and knowledge discovery. Founder Secretary of the Indian Society for Rough Sets, he has contributed to nationally significant projects in aerospace, defense, and transportation. His accolades include the Acharya Rathna (2019) and Bhisma Acharya Award (2021-22).
Dr. Sandeep Kautish, Director of the Institute of Innovation at Physics Wallah, Noida, India, brings over two decades of experience in academia and academic leadership. He holds a PhD in Computer Science specializing in intelligent systems in social networks, with research spanning healthcare analytics, business analytics, data mining, and information systems. With 100+ publications (31 in JCR Q1) and 3000+ citations, he has authored or edited more than 20 books and developed a 2022 hybrid-cloud DDoS mitigation method published in IEEE Transactions on Industrial Informatics. He also holds a 2019 patent on AI-driven solar energy equipment and has organized 10+ conferences and 15+ faculty development programs in India and abroad.
Dr. Ramesh Maddali combines deep expertise in mathematics and computer science with a PhD in Operations Research from the University of Hyderabad to tackle complex problems. Now an Assistant Professor at Alcorn State University, he leverages optimization and analytics to create efficient, cost-aware GenAI pipelines, fine-tune prompts, and integrate rigorous evaluation and testing to deliver reliable, production-ready code. His background in modeling and applied analytics enables him to solve high-impact challenges at the intersection of AI and software engineering. He has a strong track record of applying theoretical frameworks to practical, real-world systems. His work bridges academic research and industry needs, ensuring AI-driven solutions are both innovative and operationally sound.
作者簡介(中文翻譯)
Sairohith Thummarakoti 是一位專注於智能自動化、人工智慧驅動的雲基礎設施和醫療科技的首席架構師。他撰寫了多本有關人工智慧和雲計算的書籍，並為多個領先的 IEEE 和 Springer 期刊及會議審核了超過 300 篇研究論文。作為 IEEE 計算機學會哥倫比亞分會的創始主席，他定期為全球的學術和產業觀眾提供受邀演講、教職員發展計劃和培訓課程。
Chillarige Raghavendra Rao 博士是海得拉巴大學計算機與信息科學學院的退休高級教授，擁有統計學博士學位及奧斯曼尼亞大學的計算機科學與工程碩士學位。在他的職業生涯中，他指導了 15 位博士生，發表了 200 多篇論文，並在模擬、建模和知識發現方面獲得了兩項國際專利。作為印度粗集的創始秘書，他參與了航空航天、國防和交通等國家重大項目。他的榮譽包括 Acharya Rathna 獎（2019）和 Bhisma Acharya 獎（2021-22）。
Sandeep Kautish 博士是印度諾伊達 Physics Wallah 創新研究所的主任，擁有超過二十年的學術和學術領導經驗。他擁有計算機科學博士學位，專注於社交網絡中的智能系統，研究範圍涵蓋醫療分析、商業分析、數據挖掘和信息系統。擁有超過 100 篇出版物（31 篇在 JCR Q1）和 3000 多次引用，他撰寫或編輯了 20 多本書籍，並開發了一種 2022 年的混合雲 DDoS 緩解方法，發表在 IEEE Transactions on Industrial Informatics。他還擁有 2019 年的人工智慧驅動的太陽能設備專利，並在印度及國外組織了 10 多場會議和 15 次以上的教職員發展計劃。
Ramesh Maddali 博士結合了數學和計算機科學的深厚專業知識，擁有海得拉巴大學的運籌學博士學位，以解決複雜問題。現在是阿爾科恩州立大學的助理教授，他利用優化和分析技術創建高效、成本意識的 GenAI 管道，微調提示，並整合嚴謹的評估和測試，以提供可靠的生產就緒代碼。他在建模和應用分析方面的背景使他能夠解決人工智慧與軟體工程交匯處的高影響挑戰。他在將理論框架應用於實際現實系統方面有著良好的記錄。他的工作橋接了學術研究和產業需求，確保人工智慧驅動的解決方案既具創新性又具操作性。
