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Claude Code Masterclass

Build Real-World Software with Claude Code, AI Workflows, and Hands-On Projects

This book is 100% completeLast updated on 2026-06-01

Learn Claude Code by building real projects. This hands-on companion turns the Claude Code Masterclass workshop into a practical self-paced guide for planning, coding, testing, reviewing, refactoring, and shipping software with AI.

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About

About

About the Book

Claude Code Masterclass is a practical, project-based companion for developers who want to use Claude Code as a real software delivery partner, not just as an autocomplete tool.

Across a sequence of hands-on labs, you will learn how to plan features, generate code, write tests, debug failures, review AI output, manage Git workflows, refactor safely, document systems, and prepare projects for production. The book follows the structure of the Claude Code Masterclass workshop and turns each module into a repeatable learning path you can complete at your own pace.

You will build real artifacts including a CLI task manager, a project CLAUDE.md file, a notes API, test suites, bug fixes, a feature-branch workflow, a dashboard UI, refactoring documentation, reusable Claude skills, and a production readiness report.

This is a self-published companion ebook by Luca Berton. It is independent of Packt and is designed for learners who want a focused, practical guide to AI-assisted software development with Claude Code.

Author

About the Author

Luca Berton

Luca Berton is an Ansible Automation Expert who has been working with JPMorgan Chase & Co. and previously worked with the Red Hat Hat Ansible Engineer Team for three years. Published author of the Ansible for VMware by Examples and Ansible for Kubernetes by Examples best-seller of the Ansible By Example(s) practical book series and creator of the Ansible Pilot project. With more than 15 years of experience as a System Administrator, he has strong expertise in Infrastructure Hardening and Automation. Enthusiast of the Open Source supports the community, sharing his knowledge in different events of public access. Geek by nature, Linux by choice, Fedora, of course.

Leanpub Podcast

Episode 280

An Interview with Luca Berton

Contents

Table of Contents

How to use this book

Prerequisites and pre-work

01. Setup & AI-First Mindset

  1. Install
  2. Verify
  3. Sign in
  4. Welcome · What you’ll build today
  5. Your instructor — Luca Berton
  6. Anthropic & the Claude models
  7. Theory · The AI coding loop
  8. The loop you’ll repeat all day
  9. Reference · Claude Code is everywhere
  10. Reference · Slash commands cheat sheet
  11. Reference · Common mistakes
  12. Worked example · “Read this repo”
  13. Try it yourself · Verify + name the loop
  14. Done & next
  15. Hands-on exercise — Module 01
  16. Solution — Module 01

02. Prompting

  1. Theory · The GCOE prompt
  2. Anatomy of a GCOE prompt
  3. Reference · GCOE skeleton you can paste
  4. Reference · Common mistakes
  5. Worked example · Vague vs. GCOE
  6. Try it yourself · CLI Task Manager
  7. Done & next
  8. Hands-on exercise — Module 02
  9. Solution — Module 02

03. CLAUDE.md Brain Files

  1. Theory · CLAUDE.md is a behavior file
  2. CLAUDE.md at a glance
  3. Reference · A lean CLAUDE.md (≤ 80 lines)
  4. Reference · A complete CLAUDE.md (all 5 sections)
  5. Reference · Common mistakes
  6. Worked example · Before vs. after CLAUDE.md
  7. Try it yourself · Author your CLAUDE.md
  8. Done & next
  9. Hands-on exercise — Module 03
  10. Solution — Module 03

04. Best-of-N

  1. Theory · Best-of-N
  2. Best-of-N, scored
  3. Reference · The 3-criterion scorecard
  4. Reference · Common mistakes
  5. Worked example · Three candidates, one winner
  6. Try it yourself · Notes API, Best-of-3
  7. Done & next
  8. Hands-on exercise — Module 04
  9. Solution — Module 04

05. Testing & Debugging

  1. Theory · Test, then self-review
  2. The test-and-review loop
  3. Reference · The self-review prompt
  4. Reference · Common mistakes
  5. Worked example · Plant a bug, catch it
  6. Try it yourself · Suite + 2 bugs + your rubric
  7. Done & next
  8. Hands-on exercise — Module 05
  9. Solution — Module 05

06. Git Workflows

  1. Theory · Safe git for AI code
  2. Branch → atomic commits → PR
  3. Reference · Bonus · @claude GitHub Action
  4. Reference · Common mistakes
  5. Worked example · Split commits, write the PR
  6. Try it yourself · Branch → commits → PR
  7. Done & next
  8. Hands-on exercise — Module 06
  9. Solution — Module 06

07. Multimodal

  1. Theory · Layout-first prompting
  2. From wireframe to running UI
  3. Reference · markitdown — any file → Markdown
  4. Reference · Common mistakes
  5. Worked example · Wireframe → running UI
  6. Try it yourself · Dashboard from wireframe
  7. Done & next
  8. Hands-on exercise — Module 07
  9. Solution — Module 07

08. Refactor & Docs

  1. Theory · Constrained refactor + two-pass docs
  2. Refactor inside the guardrails
  3. Reference · constraints.md (write it first)
  4. Reference · Common mistakes
  5. Worked example · Bad vs. constrained refactor
  6. Try it yourself · Refactor + handoff docs
  7. Done & next
  8. Hands-on exercise — Module 08
  9. Solution — Module 08
  10. Reference code — Module 08

09. Skills & Workflows

  1. Theory · Four pillars of agentic engineering
  2. The four power-ups
  3. Reference · Hooks & MCP
  4. Reference · Multi-agent & common mistakes
  5. Worked example · Author a Skill in 4 minutes
  6. Worked example · Connect GitHub over MCP
  7. Try it yourself · Author a reusable Skill
  8. Done & next
  9. Hands-on exercise — Module 09
  10. Solution — Module 09

10. Production Readiness

  1. Theory · Five axes + a verdict
  2. The five readiness axes
  3. Reference · Overeager agents
  4. Reference · Common mistakes
  5. Worked example · Score the Notes API
  6. Try it yourself · Production Readiness Report
  7. Done & next
  8. Hands-on exercise — Module 10
  9. Solution — Module 10

11. Q&A & Next Steps

  1. Theory · Three frameworks you keep
  2. Reference · The five most common mistakes
  3. Reference · Three prompting anti-patterns
  4. Worked example · “Fix it” loop vs. precise prompt
  5. Future-proof · Keep an eye on
  6. Try it yourself · The Monday sentence
  7. Done · The whole bootcamp

Appendix A — Skills Library

  1. What is a Skill?
  2. The 10 skills
  3. How to install
  4. How each skill is structured
  5. Project-agnostic guarantee
  6. Contributing

Appendix B — Knowledge Quiz

  1. Module 1 — AI-First Mindset
  2. Module 2 — Prompting Like a Tech Lead
  3. Module 3 — CLAUDE.md
  4. Module 4 — Best-of-N
  5. Module 5 — Testing, Debugging, Self-Review
  6. Module 6 — Git Workflows
  7. Module 7 — Multimodal
  8. Module 8 — Refactoring
  9. Module 9 — Skills
  10. Module 10 — Production Readiness

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