How many AI coding tutorials have you watched — and how many real projects have
you actually shipped? This course closes that gap.
You'll internalize one loop that runs through everything you build —
**Plan → Implement → Test → Review → Commit** — and use it to ship a real,
tested feature end to end. Write prompts that read like well-scoped tickets,
generate honest test suites, run Best-of-N to pick winners on evidence, and
wire up professional git, MCP, hooks, and skills. You stay the engineer of
record the whole time: Claude proposes, you decide what ships.
What you'll learn:
• Run the five-step loop on every change so AI bugs are caught before prod
• Write spec-grade prompts and CLAUDE.md brain files
• Pick the best solution with Best-of-N and rubric scoring
• Generate honest tests and make Claude review its own code
• Run safe git workflows and connect tools via the GitHub MCP server
• Automate guardrails with hooks and skills, then score production readiness
🔴 Live cohort (5-hour intensive, limited seats):
🎓 Self-paced on Udemy:
📘 Companion book on Leanpub:
Taught by Luca Berton — cloud architect, automation engineer, and bestselling author of *Ansible for VMware by Examples* and *Ansible for Kubernetes by Examples*.
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