Claude Code Masterclass: Ship Production Code 10x Faster with AI

🎓 Learn AI-assisted software development end to end — take the self-paced video course and grab the hands-on companion book.

The Problem Every Developer Has

You installed Claude Code. You typed a prompt. You got… something. Maybe it worked. Maybe it was garbage. You had no idea why.

That is not a tool problem. It is a workflow problem.

Most developers use AI coding tools like a slot machine — pull the lever, hope for the best. I built this course to give you the system that makes every pull a winner.

What Makes This Different

This is not a “watch me type prompts” tutorial. It is a production workflow distilled into 59 minutes:

• 🎯 One mindset — Treat Claude Code like a sharp junior engineer you direct and review
• 🔄 One loop — Plan → Implement → Test → Review → Commit
• 🏗️ One project — You build a real app module by module, not toy examples

After 8 published technical books, 1,300+ articles, and months of shipping production code with Claude Code daily — this is the workflow I wish someone had given me on day one.

The Full Curriculum

🚀 Section 1: Introduction

3 min — Meet your instructor and understand why the “sharp junior engineer” mindset changes everything.

🧠 Section 2: Foundations — Setup, Prompting and Brain Files

Setup and AI-First Mindset (9 min)

Install and configure Claude Code on macOS, Linux, or Windows (WSL2). Learn to pick the right model for the job:

Then internalize the loop: Plan → Implement → Test → Review → Commit.

Prompting Like a Tech Lead (7 min)

A great prompt is a spec. Learn the GCOE framework:

G — Goal: What you want (one sentence)
C — Constraints: What it must NOT do
O — Output format: Exactly how it should look
E — Examples: One golden example

Every constraint you add deletes one wrong guess Claude could make. We build a command-line task manager from a single well-structured prompt — turning plausible-but-fragile output into code you can actually merge.

CLAUDE.md Brain Files (7 min)

Stop re-explaining your stack every single prompt.

Author a CLAUDE.md — a behavior file, not documentation — with five sections that earn their place:

1. Stack — What you are building with
2. Conventions — How you name things, format code
3. Commands — How to run, test, deploy
4. Do-not — Hard rules (never touch X, always use Y)
5. Glossary — Domain terms Claude gets wrong

Have Claude draft it from your real repo. Trim it with the “trim test” — if removing a line does not change Claude’s output, delete it. Prove in a fresh chat that Claude silently obeys your rules without being asked.

⚡ Section 3: Create Code That Works

Best-of-N Selection (9 min)

The first answer is rarely the best. Stop shipping it.

The technique:

1. Generate 2–3 independent candidates (new conversations)
2. Score them on a rubric: correctness is the gate, simplicity and fit break ties
3. Ship the winner with evidence — not a gut feeling

We build a Notes API two ways and let the rubric, not our mood, pick the winner. You will never blindly accept the first output again.

Testing and Debugging (8 min)

Untested AI code is a guess.

Generate a real pytest suite that runs in-process against a temp database, covering:

• ✅ Happy paths
• ❌ Error paths (the ones Claude skips)
• 🔲 Boundaries (empty inputs, huge payloads, Unicode)

Then learn the “stranger’s PR” self-review prompt that flips Claude from cheerleader to critic: plant a bug, and watch it name the file, line, and fix in a bug_report.md.

Git Workflows (6 min)

Never let Claude push to main.

The safe AI git flow:

1. git checkout -b feature/x — branch first, always
2. Split work into atomic Conventional Commits
3. Generate a PR description from the actual diff — never from your prompt
4. You review. You merge. Claude proposes, you decide.

🖼️ Section 4: Scale Your Workflow — Multimodal, Refactoring and Skills

Multimodal (7 min)

Claude reads images, not just text. Feed it:

• A screenshot of a broken UI → get the CSS fix
• A design mockup → get the implementation
• An architecture diagram → get the infrastructure code

Learn when a picture is worth a thousand tokens — and how to pair an image with a precise prompt for pixel-perfect results.

Refactor and Docs (7 min)

Refactor with a safety net. Use your test suite as a guardrail while Claude restructures messy code, then have it generate accurate docstrings and READMEs from the real implementation — documentation that matches the code instead of drifting from it.

Skills and Workflows (7 min)

Stop re-typing the same multi-step prompt. Package a proven workflow into a reusable Claude Code skill (a slash command), so a complex task becomes a single repeatable invocation you and your team can run on demand.

🚢 Section 5: Production-Ready — MCP, Hooks and Shipping

MCP and GitHub (9 min)

Give Claude hands beyond your repo. Connect the GitHub MCP (Model Context Protocol) server so Claude can read issues, open PRs, and act on real project data — safely and within the permissions you grant.

Hooks (6 min)

Wire shell commands to Claude Code lifecycle events. Use hooks to enforce formatting, run tests, or block risky actions automatically — turning your standards into guardrails that fire without you remembering to ask.

Production Readiness (6 min)

Bring it all together with a production-readiness checklist: tests, docs, security, reviews, and the loop you have practiced all course. Learn what “done” really means before AI-assisted code ships.

🎯 Section 6: Wrap-Up and Next Steps

Recap the whole journey, tackle the most common questions, and map your next moves — how to take the Plan → Implement → Test → Review → Commit loop into your daily work and keep leveling up.

By the Numbers

Who Should Take This

✅ Developers who want to ship 10x faster without sacrificing code quality

✅ Tech leads evaluating AI coding tools for their team

✅ Anyone who tried Claude Code and got inconsistent results

✅ Engineers who want a repeatable system, not prompt tricks

What is Coming Next

The complete course is live now. Bonus content in production:

• Skills Library — A ready-to-use collection of Claude Code skills you can drop into your own projects
• Knowledge Quiz — Test your retention of the core techniques with a practice activity

Stay enrolled to get notified when bonus content drops.

The Companion Book

The course has a hands-on companion book — a project-based guide to planning, coding, testing, refactoring, and shipping software with AI. It goes deeper than the videos on the written workflows, prompt patterns, and review checklists, and it’s the perfect reference to keep open beside your editor.

Available as PDF and EPUB on Leanpub, and in print/Kindle on Amazon:

Pair the video course for the guided walkthrough with the book as your day-to-day reference, and you have the complete Claude Code workflow at your fingertips.

Start Learning

The complete course is live now, and the companion book is ready whenever you want to go deeper. Take the self-paced course, keep the book beside you, and ship better software with AI.

About Your Instructor

I am Luca Berton — AI and Cloud Advisor, Docker Captain, author of 8 technical books, and builder of enterprise AI platforms. I use Claude Code every single day to ship production infrastructure, write content, and maintain open-source projects.

This course is the system I built for myself. Now it is yours.

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