Software Engineering & Development Bundle

The AI-Powered Software Engineer is a practical guide to software development in the age of Artificial Intelligence.

The book explains how AI can transform the traditional software-development workflow—from planning and architecture to coding, debugging, testing, deployment, and product development.

Instead of treating AI as a replacement for programming knowledge, the book presents AI as a force multiplier for software engineers.

You will explore how to:

• Use AI to learn programming more effectively
• Generate and understand code
• Build software without manually writing every line
• Design software architectures with AI assistance
• Work with APIs, databases, and modern development tools
• Build AI-powered applications
• Implement RAG and intelligent workflows
• Develop AI agents and automation systems
• Test and evaluate AI-generated software
• Improve security and reliability
• Deploy applications into production
• Build AI-powered SaaS products
• Think like an AI product engineer
• Explore entrepreneurship and the future of software engineering

The central idea is simple:

AI should not make you think less. It should enable you to build more.

Engineering Software Systems in the AI Era is a practical guide to designing, building, securing, testing, scaling, deploying, and evolving modern software systems in an increasingly AI-driven world.

The book takes a system-level approach to software engineering rather than focusing exclusively on programming.

It brings together the major disciplines required to build production-grade software:

• Software architecture
• System design
• Requirements engineering
• Data architecture
• AI engineering
• Cybersecurity
• Privacy
• Software quality
• Reliability engineering
• Cloud-native systems
• DevOps and DevSecOps
• Observability
• Platform engineering
• AI-augmented development
• Technical debt management
• Engineering strategy
• Technical leadership
• AI governance
• Intelligent software systems

A central theme throughout the book is the changing role of the software engineer.

As AI makes coding increasingly automated, engineers must become better at understanding problems, designing systems, evaluating trade-offs, verifying results, managing risk, and making architectural decisions.

This book provides a practical blueprint for doing exactly that.

Security by Design: Building Secure Digital Systems is a practical and foundational guide to designing, building, operating, and governing secure digital systems.

The book presents security as an engineering and architectural discipline rather than a collection of isolated security tools.

It explores the foundations of cybersecurity, threat modeling, secure architecture, identity and access control, application and API security, data protection and privacy, cloud and infrastructure security, secure software development, DevSecOps, AI security, security monitoring, incident response, resilience, and security governance.

Particular attention is given to modern AI-powered systems and the security challenges created when AI interacts with sensitive data, applications, tools, APIs, and automated workflows.

Rather than focusing primarily on temporary technologies or product-specific techniques, the book emphasizes principles that can remain useful as technology evolves.

It is designed to help readers develop the ability to ask the right security questions before systems are built, while they are being developed, and throughout their operational lifecycle.

The Code Revolution: From Binary to Brains: The Evolution of Computer Science, Information & AI takes readers on a journey through the development of computing—from the earliest ideas of mechanical calculation to today's rapidly evolving world of artificial intelligence.

The book explains how seemingly separate technologies became connected parts of a larger technological evolution.

It explores the foundations of computation, the emergence of electronic computers, the birth of computer science, programming languages, operating systems, personal computers, digital information, the Internet, the World Wide Web, databases, cloud computing, machine learning, deep learning, generative AI, large language models, and intelligent agents.

Beyond technology, the book examines the broader consequences of the computing revolution.

How is AI changing software development?

What happens when computers can generate code, content, and ideas?

How will intelligent systems affect work and education?

What happens when software becomes increasingly autonomous?

And what responsibilities do humans have when machines become more capable?

Rather than focusing on rapidly changing tools and platforms, The Code Revolution focuses on the underlying concepts and historical connections that make modern computing understandable.

It is designed for readers who want to understand not only what computers can do today, but how computing evolved into what it is becoming.