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Vibe Coding to Production

Building Production-Grade SaaS Systems with AI-Powered Development

Vibe coding has made it possible to build software faster than ever, but speed alone does not create great products. Vibe Coding to Production explores what it really takes to turn AI-generated code into reliable, secure, and scalable SaaS applications. Combining industry research, practical lessons, and real-world examples, this book shows how engineers and founders can use AI as a force multiplier while maintaining the engineering discipline needed to ship production-ready systems.

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About

About

About the Book

Vibe coding has taken the software industry by storm since Andrej Karpathy coined the term in February 2025. What started as a provocative idea has become a $4.7 billion market, reshaping how startups build products and how enterprises approach software delivery. But can vibe coding be trusted to deliver production-grade systems? This book answers that question with evidence, not hype.

Drawing on the latest research from METR, CodeRabbit, Veracode, GitClear, and others, this book presents a comprehensive framework for building serious SaaS products using AI-assisted development workflows. It covers everything from idea validation through architecture, backend and frontend engineering, security, testing, DevOps, team governance, and business growth. Every chapter combines real-world case studies with practical frameworks, checklists, and reusable prompts that you can apply immediately.

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Author

About the Author

Steve T. Team Publications

Steve T. is a cybersecurity professional and technology leader with more than 20 years of experience in application security, infrastructure security, vulnerability management, software development, and secure engineering practices. Having started his career during the early growth of the internet and modern web applications, he has worked through multiple generations of technology, security challenges, and software development methodologies.

Today, Steve is part of the advanced research organization at a leading cybersecurity company, where he focuses on emerging threats, security innovation, and the practical application of research to real-world environments. His work includes analyzing new attack techniques, evaluating emerging technologies, conducting deep technical investigations, and helping organizations better understand and manage complex security risks.

In addition to his research work, Steve leads a team of senior engineers and subject matter experts who develop technical books, training materials, and educational content for security professionals. Under his leadership, the team produces in-depth resources that help engineers, developers, architects, and security practitioners build stronger technical skills and improve security outcomes.

Steve's expertise spans software development, reverse engineering, web application security, penetration testing, security architecture reviews, incident response, vulnerability research, operating system internals, and secure software development. He has extensive experience analyzing complex systems at both the source code and binary levels, allowing him to bridge the gap between software engineering, security research, and real-world defensive practices.

Throughout his career, Steve has worked with organizations across a variety of industries, helping them identify, assess, and remediate security weaknesses in critical applications and infrastructure. He is known for combining deep technical expertise with a practical approach to problem solving, focusing on security solutions that are effective, sustainable, and aligned with business objectives.

Through research, engineering, technical leadership, and education, Steve continues to contribute to the advancement of cybersecurity and the development of secure, resilient technology systems.

Contents

Table of Contents

Vibe Coding to Production

  1. Building Production-Grade SaaS Systems with AI-Powered Development
  2. Table of Contents
  3. Introduction: The Promise and Peril of Vibe Coding
  4. Chapter 1: Foundations of Vibe Coding
  5. Chapter 2: Idea Validation and Product Design with AI
  6. Chapter 3: Software Architecture for the AI Era
  7. Chapter 4: Setting Up the AI Development Environment
  8. Chapter 5: Backend Engineering with AI
  9. Chapter 6: Frontend Engineering with AI
  10. Chapter 7: Databases, Data Modeling, and AI-Assisted Queries
  11. Chapter 8: Authentication, Authorization, and Security by Design
  12. Chapter 9: Testing, Quality Assurance, and AI-Assisted Verification
  13. Chapter 10: DevOps, CI/CD, and Deployment at Scale
  14. Chapter 11: Team Workflows, Governance, and Scaling the Practice
  15. Chapter 12: SaaS Business Growth and Operations
  16. Conclusion: The Future of Vibe Coding
  17. References

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