Claude Code Power User: Architecting AI-Native Dev Workflows

Master CLAUDEmd, Skills, Planning Mode, and Automation to Turn Claude Code into Your Project Co-Pilot

What you’ll learn
Design and implement a production-grade CLAUDEmd that encodes architecture rules, guardrails, testing policies, and governance standards.
Use Plan Mode to transform ambiguous feature ideas into structured artifacts (REQUIREMENTSmd, ROADMAPmd, STATEmd) with phased execution.
Build and deploy reusable Claude Skills and custom slash commands to automate real-world developer workflows.
Implement mandatory test gating, CI enforcement, and human-in-the-loop workflows for safe AI-assisted development.
Configure Claude Code for large repositories and monorepos using layered governance and folder-level overrides.
Detect and mitigate AI failure modes such as hallucinations, unsafe migrations, and silent logic drift.
Design and document an organizational safe usage policy for enterprise-scale AI adoption.
Deliver a complete capstone repository demonstrating AI-native development practices from planning to production governance.

Requirements
Strong proficiency in at least one programming language (e.g., Python, JavaScript/TypeScript, Java, Go, etc.).
Experience working with Git and modern pull request workflows.
Familiarity with backend or full-stack architecture (APIs, services, databases, CI/CD basics).
Understanding of automated testing concepts (unit tests, integration tests, CI pipelines).
Comfort working in a command-line environment and navigating project repositories.
Basic knowledge of software design principles (modularity, separation of concerns, versioning).
Access to a development machine capable of running Claude Code (CLI or Desktop) and a sample repository to practice on.
Recommended (not mandatory): Experience working in a team-based development environment or monorepo setup.

Description
“This course contains the use of artificial intelligence”

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

This course culminates in a comprehensive capstone where you embed Claude Code into a real development lifecycle — from idea → roadmap → execution → automation → governance.

By the end, you won’t just “use AI.”

• You’ll architect AI-native systems.

• You’ll know how to encode discipline into automation.

• You’ll know how to scale AI safely across teams.

• You’ll know how to turn Claude Code into governed engineering infrastructure.

If you’re a backend engineer, full-stack developer, tech lead, architect, or CTO who wants to design the future of AI-powered development — this course gives you the blueprint.

Claude is not just a tool.

It’s an infrastructure layer.

And this course teaches you how to build on top of it — responsibly, systematically, and at scale.

Who this course is for
Backend engineers who want to integrate AI deeply into real-world development workflows — beyond autocomplete.
Full-stack developers looking to automate testing, reviews, planning, and refactoring using Claude Code.
ML / AI engineers who want structured governance and production-safe AI development patterns.
Tech leads and engineering managers designing AI-native workflows for their teams.
Software architects responsible for maintaining system integrity while enabling AI-assisted productivity.
DevOps engineers interested in CI gating, automation guardrails, and safe migration patterns.
Startup founders and CTOs building AI-first engineering cultures from day one.
Experienced developers who want to move from “using AI tools” to architecting AI-powered development systems.