The Vibe Coding Playbook, Building Your Tech Business with AI, Raval S., 2026

The Vibe Coding Playbook, Building Your Tech Business with AI, Raval S., 2026.

   Technology has never moved this fast. Every week brings a new model, a new workflow, a new way of creating that didn’t exist the week before. For most people, that pace feels overwhelming — but for me, it has always felt like an invitation.
I wrote The Vibe Coding Playbook because the way we build with AI has fundamentally changed. We don’t just “program” anymore. We direct, we guide, we collaborate. We create flows of intention and iteration — what I call vibe coding. It’s a new creative discipline where your intuition, your clarity, and your ability to shape ideas matter just as much as your technical skill.
This book is the blueprint I wish I had when I began working with generative models. It’s a guide for builders, makers, founders, and curious minds who want to harness AI not as a tool, but as a partner. My hope is that these pages help you think bigger, work faster, and unlock the kind of breakthroughs that only happen when humans and machines create together.




WHY THE “TINY MVP” BEATS THE “LEAN MVP”.
The Lean MVP was revolutionary ... in 2009. Coined by Eric Ries, it taught a generation of founders to escape the purgatory of yearlong development cycles and “get out of the building.” It asked them to start small. But in the generative AI era, our definition of “small” needs a full factory reset. The ground has shifted beneath our feet. What was once a nimble sprint is now a ponderous marathon.

A “Lean” MVP today might still involve a few weeks of design sprints in Figma, front-end polish with React, backend scaffolding with Python or Node.js, setting up a PostgreSQL database, and a series of high-stakes stakeholder demos. It’s a process laden with meetings, architectural debates, and dependencies. It is, by today’s standards, too slow, too expensive, and too much. It assumes the primary risk is technical execution when the primary risk is, and always has been, market apathy.

Contents.
Introduction.
PART I Foundations.
CHAPTER 1 AI Gold-Rush Economics-Why Now Beats Better.
CHAPTER 2 Founder OS-Speed, Scope Cut, and the Distribution-First Mindset.
CHAPTER 3 Find a Burning Problem-Painkillers > Vitamins and the B2B/B2C Split.
PART II Building Your Product.
CHAPTER 4 AI-Powered Market Intel-Scrapers, GPT Surveys, and Persona Cloning.
CHAPTER 5 Tiny MVP in 24 Hours: Prompt + Spreadsheet Demo.
CHAPTER 6 Validation Loops-Waitlists, Preorders, and Paid Pilots.
CHAPTER 7 Pick Your Stack-Hosted, Open Source, or Hybrid (and When to Switch).
PART III Launching and Scaling.
CHAPTER 8 Rapid Prototyping with Gen AI-Code Agents and UI Scaffolds.
CHAPTER 9 Data and MLOps for Noncoders-Pipelines, Eval Harnesses, and Fine-Tunes.
CHAPTER 10 Ship Weekly-CI/CD, Feature Flags, and Telemetry That Matters.
CHAPTER 11 Narrative Positioning and Value-Based Pricing.
PART IV Case Studies and Templates.
CHAPTER 12 Build-in-Public Flywheel-Community, Content, and Credibility.
CHAPTER 13 Paid Acquisition That Prints Cash-UGC Ads and Influencer Allowlisting.
PART V Scaling and Moats.
CHAPTER 14 Automation and Delegation-SOPs, Agents, and Contractors.
CHAPTER 15 How to Find and Close Strategic Angels: The Proactive Update Playbook.
CHAPTER 16 The Five-Person Super-Team-Hiring and Culture Hacks.
CHAPTER 17 Trust and Safety as a Feature-Compliance, Privacy, AI Ethics.
PART VI Exit or Infinity Mode.
CHAPTER 18 Cash-Out or Compound-Acqui-Hire, Strategic Buyout, Indie Profitability.
CHAPTER 19 The Next Frontier-The Age of Autonomous Agents and the Unstoppable Ascent of Open Source AI.
Index.



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Теги: учебник по программированию :: программирование :: Raval