AI Books

Practical AI Knowledge in Book Form

At ExpertOn.AI, we share our knowledge and practical experience through books designed to make Artificial Intelligence easier to understand and apply.

Our AI books focus on real-world workflows, software engineering practices, emerging technologies, and the skills professionals need to remain successful in an AI-driven world.

Featured AI Book

A Practical Guide to Building Software with AI: The Vibe Coding Workflow

Learn Vibe Coding with Prompt and Context Engineering—and use AI to generate code, requirements, user stories, test cases, technical specifications, and software architecture.

This practical book explains how Artificial Intelligence is transforming the complete software engineering lifecycle.

It introduces a modern AI-assisted development workflow in which software professionals collaborate with AI to analyze requirements, design systems, generate code, create documentation, test applications, debug problems, and improve software quality.

The book combines strategic insights about the future of software engineering with practical examples of backend and frontend application development.

What You Will Learn

How AI Is Transforming Software Engineering

  • Understand how AI is changing the software engineering landscape.
  • Learn new AI-assisted ways of working.
  • Discover the skills software professionals will need in the new world of AI.
  • Understand the emergence of new AI-related technology jobs.
  • Explore how AI may consolidate traditional software roles.
  • Examine the impact of AI on software delivery time, code quality, productivity, and the overall size of the software industry.

Prompt Engineering and Context Engineering

  • Learn the fundamentals of Prompt Engineering.
  • Understand how to write clear, structured, and effective prompts.
  • Learn Context Engineering and why context is critical for reliable AI output.
  • Discover how requirements, examples, constraints, architecture decisions, and project information improve AI-generated results.

AI Hallucinations and Software Quality

  • Understand what AI hallucinations are.
  • Learn why AI systems may generate incorrect or misleading information.
  • Discover practical methods for identifying AI hallucinations.
  • Learn how to validate AI-generated code and technical information.
  • Apply best practices to reduce hallucinations and improve code quality.
  • Understand the importance of human review, testing, and verification.

AI-Generated Software Documentation

Learn how to use AI to create essential software development artifacts, including:

  • Product requirement specifications
  • Functional requirements
  • User stories
  • Acceptance criteria
  • Test cases
  • Technical specifications
  • API specifications
  • Software architecture diagrams
  • Implementation plans
  • Development documentation

AI Agents and the Model Context Protocol

  • Understand what AI agents are.
  • Learn how AI agents can perform multi-step software development tasks.
  • Explore the Model Context Protocol, commonly known as MCP.
  • Understand how MCP can connect AI systems with tools, data, services, and development environments.

Vibe Coding and Chat-Oriented Programming

  • Understand the meaning of Vibe Coding.
  • Learn how software can be developed through continuous interaction with AI.
  • Discover how AI can assist with coding, testing, troubleshooting, and debugging.
  • Explore the transition from traditional Object-Oriented Programming to a more conversational, AI-assisted approach called Chat-Oriented Programming.
  • Learn how to communicate software requirements and technical intent more effectively to AI systems.

Practical Backend Development with AI

  • Generate Java microservice code using AI.
  • Develop four REST APIs through Vibe Coding.
  • Use AI to create controllers, services, data models, validation rules, and error handling.
  • Learn how to review, test, debug, and improve AI-generated backend code.

Practical Frontend Development with AI

  • Generate a frontend React web application using AI.
  • Develop four complete web pages and features through Vibe Coding.
  • Use AI to create user interfaces, reusable components, forms, validations, and API integrations.
  • Learn how to test and refine AI-generated frontend code.

The Future of Artificial Intelligence

The book also explains important concepts that may shape the future of technology and employment:

  • Artificial Narrow Intelligence, or ANI
  • Artificial General Intelligence, or AGI
  • Artificial Superintelligence, or ASI
  • Quantum AI
  • AI-driven automation
  • The future of software engineering jobs
  • The changing relationship between humans and intelligent machines

It also explores important questions such as:

  • Will AI replace software developers?
  • Will AI replace all human workers?
  • Which technology jobs may disappear, change, or emerge?
  • Which human skills will remain valuable?
  • How can professionals secure their careers in a world influenced by AI and quantum computing?

Who Should Read This Book?

This book is suitable for:

  • Software developers
  • Software architects
  • Engineering managers
  • Business analysts
  • Product managers
  • Quality assurance professionals
  • Technical leads
  • Students and recent graduates
  • Technology consultants
  • Entrepreneurs and startup founders
  • Professionals preparing for AI-driven changes in the workplace

Previous experience with Artificial Intelligence is not required. The concepts are presented in a practical and accessible manner while also providing value to experienced technology professionals.

Build the Skills Needed for AI-Assisted Software Development

Artificial Intelligence is becoming an essential part of software engineering.

This book will help you understand how to collaborate effectively with AI, improve software delivery, generate higher-quality technical artifacts, and prepare for the future of technology careers.

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