Name: Claude Code Power User: Architecting AI-Native Dev Workflows
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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

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.

Professional Educator

An experienced instructor with expertise in this field and a passion for teaching.

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