Claude Code Masterclass: Ship Real Code with AI
Install Claude Code and master the Plan → Implement → Test → Review → Commit loop: Best-of-N, testing, git, MCP, hooks & skills.
Use Claude Code to build, test, and ship one small feature end-to-end —> directing the agent through the full Plan → Implement → Test → Review → Commit loop — and post your commit history and self-review as your project.
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$59.00
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Author earns
About
About the Course
Stop treating AI like a magic autocomplete and start using it like a sharp
junior engineer who sits next to you — one you direct, review, and hold
accountable. The Claude Code Masterclass teaches you the exact workflow
professional developers use to ship real, tested code with Anthropic's
Claude Code, the agentic command-line coding tool.
You'll begin by installing and configuring Claude Code on macOS, Linux, or
Windows (WSL2), then internalize the single loop that runs through every
module: Plan → Implement → Test → Review → Commit. From there, each
hands-on module builds a piece of a real project so the techniques stick.
What you'll practice, live, in the terminal:
- Prompting that reads like a well-written ticket, not a wish.
- CLAUDE.md brain files so Claude follows your project's conventions.
- Best-of-N — generate independent candidates, score them on a rubric,
and ship the winner with evidence instead of a gut feeling.
- Testing & debugging — generate honest test suites and use the "stranger's PR" self-review prompt to make Claude find its own bugs.
- Git workflows — atomic commits, Conventional Commits, and pull requests written from the diff, never the prompt.
- Multimodal work, refactoring & docs, reusable skills, the GitHub MCP server, lifecycle hooks, and a production-readiness checklist.
Throughout, you stay the engineer of record — Claude proposes, you decide
what ships. You'll never let it push to main, and you'll never skip review.
By the end you'll own a repeatable, defensible AI coding workflow you can
take straight into your day job.
Whether you're a working developer adding AI to your toolkit or a learner
who wants to build software faster without sacrificing quality, this course
gives you the discipline and the muscle memory to do it right.
Instructor
About the Instructor
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.
Episode 280
An Interview with Luca Berton
Material
Course Material
Claude Code Masterclass — Leanpub Course (Complete Manuscript)
Contents
Volume 1 — The Basics
Welcome & How This Course Works
How this works
Your instructor — Luca Berton
Before you start (~30 min)
What you’ll learn
Setup & the AI-First Mindset
Install
Verify & sign in
Anthropic & the Claude models
The AI coding loop
Claude Code is everywhere
Slash commands cheat sheet
Try it yourself
Hands-on exercise
Goal
Scenario
Starter instructions
Claude Code prompt to use
Build the deliverables
Manual validation steps
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
What a strong module-01/ contains
The verification check
Definition of done (mirror of the exercise)
Prompting Like a Tech Lead
The GCOE prompt
GCOE skeleton you can paste
Common mistakes
Worked example · Vague vs. GCOE
Try it yourself · CLI Task Manager
Hands-on exercise
Goal
Scenario
Starter instructions
Claude Code prompt to use
Manual validation steps
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
What to compare
Definition of done
CLAUDE.md Brain Files
CLAUDE.md is a behavior file
A lean CLAUDE.md (≤ 80 lines)
Common mistakes
Worked example · Before vs. after CLAUDE.md
Try it yourself · Author your CLAUDE.md
Hands-on exercise
Goal
Scenario
What you’ll do (overview)
Starter instructions
Claude Code prompt to use
Manual validation steps
Step 2 — Save and commit it
Step 3 — Prove Claude obeys it
Step 4 — Run the trim test
Step 5 — Validate
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
Worked example CLAUDE.md
Review checklist — common AI deviations
Worked proof of obedience
Definition of done
Quiz — The Basics
Volume 2 — Generating Better Code
Best-of-N
The technique
The 3-criterion scorecard
Common mistakes
Worked example · Three candidates, one winner
Try it yourself · Notes API, Best-of-3
Hands-on exercise
Goal
Scenario
Starter instructions
Step 1 — Pick a track and make the folders
Step 2 — Produce Candidate A
Step 3 — Produce Candidate B (independently)
Step 4 — Score and compare (see Manual validation steps)
Claude Code prompt to use
Manual validation steps
Step 4a — Smoke-test each candidate
Step 4b — Compare side-by-side
Step 4c — Ship the winner
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
What a good scoring.md looks like
Verification run (what “PASS” looks like)
Gotcha to catch in Review — the 404 body shape
Running it (environment note)
Definition of done
Testing & Debugging
Test, then self-review
The self-review prompt
Common mistakes
Worked example · Plant a bug, catch it
Try it yourself · Suite + 2 bugs + your rubric
Hands-on exercise
Goal
Scenario
Starter instructions
Claude Code prompt to use
Manual validation steps
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
What to compare
Review checklist — what a real Haiku run got wrong
Environment note
Code review rubric
Definition of done
Git Workflows for Safe AI Dev
Safe git for AI code
Bonus · @claude GitHub Action
Common mistakes
Worked example · Split commits, write the PR
Try it yourself · Branch → commits → PR
Hands-on exercise
Goal
Scenario
Starter instructions
Claude Code prompt to use
Manual validation steps
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
Reference branch shape
Reference pr.md shape
@claude GitHub Action (bonus)
Definition of done
Quiz — Generating Better Code
Volume 3 — Beyond Code
Multimodal: Screenshot to UI
Layout-first prompting
markitdown — any file → Markdown
Common mistakes
Worked example · Wireframe → running UI
Try it yourself · Dashboard from wireframe
Hands-on exercise
Goal
Scenario
Starter instructions
Claude Code prompt to use
Manual validation steps
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
Install
Run
Layout regions
Refactoring & Documentation at Scale
Constrained refactor + two-pass docs
constraints.md (write it first)
Common mistakes
Worked example · Bad vs. constrained refactor
Try it yourself · Refactor + handoff docs
Hands-on exercise
Goal
Scenario
Starter instructions
Claude Code prompt to use
Manual validation steps
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
Run the tests
Reference HANDOFF and ARCHITECTURE
Reference code
Skills & Workflows
Four pillars of agentic engineering
Hooks & MCP at a glance
Multi-agent & common mistakes
Worked example · Author a Skill in 4 minutes
Try it yourself · Author a reusable Skill
Hands-on exercise
Goal
Scenario
Starter instructions
Claude Code prompt to use
Manual validation steps
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
Reference SKILL.md (skeleton — your Body must be project-agnostic)
Reference hook-fired.md (what proof looks like)
Reference mcp-run.md (5-line brief + result)
Multi-agent fan-out (stretch)
Definition of done
Appendix A — Skills Library
What’s a skill, again?
The 10 skills
Install
Quiz — Beyond Code
Volume 4 — Automation & Production
MCP: Connect GitHub
What MCP is
Step 1 · Create a PAT & store it safely
Step 2 · Register the GitHub MCP server
Step 3 · Open an issue from a bug report
Recap
Hooks
What a hook is
Step 1 · Write the hook script
Step 2 · Wire it into settings
Step 3 · Make a sloppy edit & watch it fire
Hooks: choose the event
Recap
Production Readiness
Five axes + a verdict
Overeager agents
Common mistakes
Worked example · Score the Notes API
Try it yourself · Production Readiness Report
Hands-on exercise
Goal
Scenario
Starter instructions
Claude Code prompt to use
Manual validation steps
Expected deliverable
Definition of done
Stretch challenge
Troubleshooting
Solution
Reference readiness-report.md (against Module 4 FastAPI service)
How the release-readiness skill was used
Hooks that would have caught the blockers earlier
Definition of done
Q&A & Next Steps
Three frameworks you keep
The five most common mistakes
Three prompting anti-patterns
Worked example · “Fix it” loop vs. precise prompt
Keep an eye on
Try it yourself · The Monday sentence
Quiz — Automation & Production
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