Launch price: $39 (was $59.99) - instant PDF + EPUB · Get it now →

A look inside

What you'll actually get in 459 pages.

The full table of contents, one sample prompt, and a sample passage - so you know exactly what you're paying for before you click buy.

Table of contents

Six parts. One playbook.

Part I · Foundations of Vibe Coding

  • The mental model: AI as a teammate, not a replacement
  • Prompt anatomy: context, constraints, examples, output shape
  • Picking the right tool - ChatGPT, Claude, or Copilot
  • The trust ladder: when to verify, when to ship
  • Setting up your editor for AI-native coding

Part II · Production prompts

  • 10 real-world prompts that changed the way Tom codes
  • Refactor prompts that survive code review
  • Documentation prompts (docstrings, README, ADRs)
  • Test-generation prompts that actually catch bugs
  • Debugging dialogues that converge fast

Part III · Workflows that scale

  • Greenfield: from sketch to shipped feature
  • Legacy: refactoring with AI without breaking everything
  • PRDs that make AI deliver - with the meta-prompt
  • Pair-programming patterns and review checklists
  • Estimating with AI in the loop

Part IV · Full-system design

  • Data model first: schema design with AI
  • APIs, controllers, and validation layers
  • UI scaffolding and accessibility passes
  • Tests, deploys, and observability
  • Where to keep humans in the loop

Part V · Bonus chapters

  • Vibe Coding Mistakes I Made (So You Don't Have To)
  • Vibe Code Without Code - Life Productivity with AI
  • 10 Real-World Prompts That Changed the Way I Code
  • Working with non-coders as an AI-first dev
  • Avoiding burnout while shipping faster

Part VI · Tooling & templates

  • Reusable prompt templates and meta-prompts
  • Cheatsheets for editors, CLIs, and notebooks
  • Token-economy tips: write less, get more
  • What to do when the model gets it wrong
  • A reading list and resources you can revisit

Sample prompt

One of ten "production prompts" from the book.

Each chapter includes copy-paste-ready prompts you can fire today. Here's one - rewritten for clarity but unchanged in intent:

Prompt #3 - Refactor for clarity

"Rewrite this function to improve readability and add inline comments that would help a junior developer understand it on first read. Keep the same external behavior and signature. Then list any assumptions you made and any concerns that should go in code review."

The book explains why this prompt works, when to use it, and how to adapt it for tests, docs, and migrations.

Sample passage

How the book reads.

From Part I - The trust ladder

The fastest way to get burned by AI is to either trust it too much or refuse to trust it at all. Both extremes lose.

A better default is a ladder: trust AI completely on the cheapest, most reversible rungs (renaming a variable, generating a regex, writing a one-liner), and trust it less as the rung gets more expensive (a database migration, a security boundary, a public API). The skill is not "should I use AI here?" - it's "where on the ladder are we, and what's the cost of being wrong?"

The rest of this chapter walks through five concrete rungs and the prompt patterns that work best at each. You'll also learn the three sentences to add at the bottom of any prompt that lifts the response by an entire rung.

Get the book - $39