Master CLAUDEmd, Skills, Planning Mode, and Automation to Turn Claude Code into Your Project Co-Pilot. AI is changing software development — but most engineers are still using it like autocomplete.
This course is different. Claude Code Power User is designed for experienced developers who want to move beyond casual prompting and learn how to architect AI-native development workflows. Instead of treating Claude as a chatbot, you’ll learn how to transform it into a structured, governed, and production-safe project co-pilot. You’ll start by mastering CLAUDEmd — the system contract that encodes architecture boundaries, coding standards, guardrails, and testing policies. You’ll learn how to design it intentionally so Claude operates within your engineering principles instead of improvising.
From there, you’ll dive into Planning Mode and roadmap-driven development. You’ll turn vague feature ideas into structured artifacts like REQUIREMENTSmd, ROADMAPmd, and STATEmd, creating traceable, auditable workflows that connect intent to execution. This is where Claude shifts from code generator to AI-powered project manager. Next, you’ll build and deploy custom Claude Skills and slash commands to automate real-world engineering tasks — including testing, review workflows, refactoring constraints, and documentation generation. You’ll design reusable automation that scales across teams and services.
But power without governance is risk.
That’s why this course goes deep into mandatory test gating, human-in-the-loop workflows, monorepo context strategies, failure mode mitigation, and organizational safe usage policy design. You’ll learn how to prevent hallucinations, unsafe migrations, silent logic drift, and cross-service overreach.
You’ll explore how to:
- Configure Claude Code for large repositories and monorepos
- Implement CI-enforced guardrails
- Design risk-tier approval workflows
- Create enterprise-safe automation policies
- Use STATEmd as an audit trail
- Perform Claude-assisted PR reviews
- Scale AI usage across engineering, product, and data teams
