What do you think?
Rate this book
Software Engineering in the Age of AI: Advanced Concepts for Senior Developers
Software engineering is evolving—fast.Microservices have replaced monoliths.Infrastructure is now code.Systems run across availability zones and regions.Developers are expected to own performance, resilience, and observability.And AI is fundamentally reshaping how we code, test, debug, and design.Senior developers today need to know more than they did five years ago. And what makes them successful isn’t how much code they write—but how they design, lead, and adapt in a world of rapid complexity and intelligent automation.
This book is a response to that need.
What This Book Covers
This book is divided into several thematic parts. Each chapter focuses on practical depth, covering the how, why, and what if of engineering Scalable Architecture: How to design systems that grow gracefullyMicroservices: Real-world techniques and trapsResilience: How to keep services online through failurePerformance: Diagnosing and tuning for responsivenessObservability: Making systems transparent, traceable, and measurableAI: How it’s changing coding, architecture, and product designEthics & Strategy: Leading teams and making decisions in the age of intelligent systemsFuture Readiness: Staying relevant as technology and complexity evolveEach topic is presented in a format that senior developers precise language, practical scenarios, trade-off tables, and architectural patterns—not just theory.
About the Author
Vishal Jain is a seasoned software engineer with a strong foundation in computer science and engineering from the Indian Institute of Technology (IIT) Kanpur. With extensive experience in designing and building large-scale distributed systems, he has contributed to developing high-performance platforms at leading technology companies.
With experience at top tech companies like Meta, Two Sigma, Bloomberg, and financial institutions such as American Express and Citibank, Vishal has developed a strong background in software engineering. He focuses on creating scalable and resilient backend architectures, with expertise spanning across system design, performance optimization, and integrating AI-driven solutions into production environments.
Beyond his technical acumen, Vishal is passionate about mentoring the next generation of engineers and sharing insights on building robust systems. He actively engages with the developer community through talks and workshops, emphasizing the importance of ethical considerations and strategic thinking in software development.
When he's not coding, Vishal enjoys exploring new technologies and reading about advancements in artificial intelligence.
This book is a response to that need.
What This Book Covers
This book is divided into several thematic parts. Each chapter focuses on practical depth, covering the how, why, and what if of engineering Scalable Architecture: How to design systems that grow gracefullyMicroservices: Real-world techniques and trapsResilience: How to keep services online through failurePerformance: Diagnosing and tuning for responsivenessObservability: Making systems transparent, traceable, and measurableAI: How it’s changing coding, architecture, and product designEthics & Strategy: Leading teams and making decisions in the age of intelligent systemsFuture Readiness: Staying relevant as technology and complexity evolveEach topic is presented in a format that senior developers precise language, practical scenarios, trade-off tables, and architectural patterns—not just theory.
About the Author
Vishal Jain is a seasoned software engineer with a strong foundation in computer science and engineering from the Indian Institute of Technology (IIT) Kanpur. With extensive experience in designing and building large-scale distributed systems, he has contributed to developing high-performance platforms at leading technology companies.
With experience at top tech companies like Meta, Two Sigma, Bloomberg, and financial institutions such as American Express and Citibank, Vishal has developed a strong background in software engineering. He focuses on creating scalable and resilient backend architectures, with expertise spanning across system design, performance optimization, and integrating AI-driven solutions into production environments.
Beyond his technical acumen, Vishal is passionate about mentoring the next generation of engineers and sharing insights on building robust systems. He actively engages with the developer community through talks and workshops, emphasizing the importance of ethical considerations and strategic thinking in software development.
When he's not coding, Vishal enjoys exploring new technologies and reading about advancements in artificial intelligence.
152 pages, Kindle Edition
Published May 1, 2025
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 of 1 review
July 23, 2025
Actionable, Contemporary AI-oriented Software Engineering Insights
Software Engineering in the Age of AI is a May 2025 book by Vishal Jain. The 10-chapter book has 143 pages; it is among the best-ranked releases under the object-oriented design and software design categories.
With a subtitle indicating senior developers—and engineering executives—as its market target, the book’s preface promises a rethink of scalability, “performance, fault tolerance, and AI integration” through its Scalable Architecture, Microservices, Performance, Observability, AI, Ethics and Strategy, and Future Readiness topics.
I liked how the author starts with the fundamentals through an in-depth analysis to a conclusive mindset.
From the earliest The Evolving Role of Software Engineers through Backend Performance Optimization to Ethical and Strategic Considerations chapters, the book follows a familiar format—chapter objectives, introductions, retrospections, overviews, foresights, insights, summaries, and questions and answers segments.
In the first The Evolving Role of Software Engineers chapter, for example, the author’s real-life explorations include: a categorized then vs. now; developer’s abilities, tools, and skill stack; mindset shift; expectations from senior engineers; a summary of key learning and why it matters; and engaging discussion topics concerning senior engineers’ identifiers, AI impact, and transitional mind shift.
The book continues in a similar manner throughout the technological narrative, especially in my favorite section: Chapter 8: Rethinking Software Engineering in the Age of AI—it aligns most with the title—which covers AI tools, augmented engineering, generative AI case study, expert insight, SWOT analysis, and much more.
This recommendable handbook has actionable, contemporary AI-oriented software engineering insights that will appeal to senior developers and engineering executives.
Software Engineering in the Age of AI is a May 2025 book by Vishal Jain. The 10-chapter book has 143 pages; it is among the best-ranked releases under the object-oriented design and software design categories.
With a subtitle indicating senior developers—and engineering executives—as its market target, the book’s preface promises a rethink of scalability, “performance, fault tolerance, and AI integration” through its Scalable Architecture, Microservices, Performance, Observability, AI, Ethics and Strategy, and Future Readiness topics.
I liked how the author starts with the fundamentals through an in-depth analysis to a conclusive mindset.
From the earliest The Evolving Role of Software Engineers through Backend Performance Optimization to Ethical and Strategic Considerations chapters, the book follows a familiar format—chapter objectives, introductions, retrospections, overviews, foresights, insights, summaries, and questions and answers segments.
In the first The Evolving Role of Software Engineers chapter, for example, the author’s real-life explorations include: a categorized then vs. now; developer’s abilities, tools, and skill stack; mindset shift; expectations from senior engineers; a summary of key learning and why it matters; and engaging discussion topics concerning senior engineers’ identifiers, AI impact, and transitional mind shift.
The book continues in a similar manner throughout the technological narrative, especially in my favorite section: Chapter 8: Rethinking Software Engineering in the Age of AI—it aligns most with the title—which covers AI tools, augmented engineering, generative AI case study, expert insight, SWOT analysis, and much more.
This recommendable handbook has actionable, contemporary AI-oriented software engineering insights that will appeal to senior developers and engineering executives.
Displaying 1 of 1 review