Generative AI in Software Development : A Practical Guide for Engineering Leaders

個数：

予約
ポイントキャンペーン

Generative AI in Software Development : A Practical Guide for Engineering Leaders

Thummarakoti, Sairohith (EDT)/ Chillarige, Raghavendra Rao (EDT)/ Maddali, Ramesh (EDT)

ウェブストア価格 ¥38,874（本体¥35,340）
Productivity Press（2026/06発売）
外貨定価 US$ 190.00
【ウェブストア限定】洋書・洋古書ポイント5倍対象商品（～2/28）
ポイント 1,765pt

現在予約受付中です。出版後の入荷・発送となります。
（重要：表示されている発売日は予定となり、発売が延期、中止、生産限定品で商品確保ができないなどの理由により、ご注文をお取消しさせていただく場合がございます。予めご了承ください。）

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版／ページ数 400 p.
言語 ENG
商品コード 9781041218012

Full Description

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.

Part I: Foundations of Generative AI in Development
Chapter 1: Understanding Generative AI in Plain Language
Chapter 2: The Evolution of Software Development

Part II: Applying Generative AI Across the Software Lifecycle
Chapter 3: Ideation and Planning with AI
Chapter 4: Designing User Interfaces with AI
Chapter 5: Writing and Generating Code
Chapter 6: Debugging, Testing, and Refactoring
Chapter 7: Backend and API Development
Chapter 8: Deployment, DevOps, and Automation

Part III: Beyond Code—People, Processes, and Possibilities
Chapter 9: Building AI-Augmented Teams
Chapter 10: Governance, Ethics, and Ownership
Chapter 11: Case Studies from the Field

Part IV: What's Next and How to Prepare
Chapter 12: Agentic Workflows and AI Agents
Chapter 13: Your First End-to-End App with Generative AI
Chapter 14: Future-Proofing Your Skills and Stack