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Professional Vibe Coding with Claude Code

Build AI-Augmented Development Infrastructure—Own Your Productivity, Stop Renting

You're losing to engineers half as skilled because they're building 10x faster.

You're watching junior developers with AI tools ship 10x faster than you can review PRs. While you're manually debugging and writing boilerplate, they're building complete features in hours using AI-augmented development infrastructure. This masterclass teaches you to build terminal-native AI systems from scratch—capable of autonomous sub-agents, custom command libraries, context engineering, MCP integrations, and production CI/CD automation. You won't rely on Copilot, Cursor, or any IDE plugin—you'll build the infrastructure yourself: sub-agent orchestration, memory architectures, plugin frameworks, and headless automation pipelines.

This is not another course on "using Claude Code." This is executive business education (Harvard/MIT/Stanford caliber) merged with a masterclass for elite builders. Using the DrLee.AI Shu-Ha-Ri learning method, you'll go from manual coder to AI-augmented architect in 9 transformative modules—building 6 complete React applications with sub-agents, MCP servers, and context engineering.

Each module begins with a TedTalk-style presentation on infrastructure strategy, then you immediately build it yourself with hands-on coding. You'll implement terminal-native workflows, integrate MCP servers (PostgreSQL, Stripe, GitHub), orchestrate sub-agents for parallel work, build custom command libraries, develop plugin frameworks, and deploy headless AI in production CI/CD pipelines.

Different from IDE plugins like Copilot or Cursor: While autocomplete helps with code completion, this course teaches you to build AI infrastructure yourself—own the sub-agent systems, context architectures, command libraries, and automation pipelines. When your agents fail at 2am, you'll know exactly why and how to fix it. Tool users are commoditized. Infrastructure builders earn $250K-$400K and become irreplaceable.

By the end, you won't just understand AI-augmented development—you'll own production-ready AI infrastructure with 10-100x productivity gains, 6 React applications, 50+ custom commands, and complete CI/CD automation that becomes your competitive moat.

FROM
Manual Coder
$120K-$180K · Outpaced by Juniors
TO
AI-Augmented Architect
$250K-$400K · 10-100x Productivity
9 modules · 80 hours · Build 6 React apps with sub-agents, MCP, and context engineering
Start Your TransformationSee The Journey
Why It's a Masterclass, Not a Course

AI Hyper-Personalizes Your Experience

This isn't a one-size-fits-all course. It's assessed to your gaps, adapted to you, and finished with a custom deliverable you build and own.

01Before You Start

Pre-Masterclass Assessment

You begin with an AI-driven assessment that maps what you already know against everything this masterclass covers. We pinpoint your knowledge gaps up front—so your time goes only where it moves the needle.

02During

An AI-Personalized Path

Your results reshape the masterclass around you. The AI aligns the material, examples, and pace to close your specific gaps—so a fixed curriculum becomes a path built for exactly one person: you.

03Your Outcome

A Custom Deliverable You Own

You don't leave with a certificate—you leave with a real, working artifact built for your goals. In "Professional Vibe Coding with Claude Code," that means a deliverable you can ship, show, and build on. Something you made, not just something you watched.

The AI Infrastructure Sovereignty Stack™

Your 9-Step Transformation Journey

Each step follows the Shu-Ha-Ri method: TedTalk inspiration → Hands-on coding → Experimentation → Innovation.Watch as you progress from manual coder to AI-augmented architect, building your development productivity moat with every step.

Weeks 1-3

STAGE 1-3: Foundation & Integration

Terminal Command Center, Workflow Acceleration, Cross-Platform Mastery

FROM
“Opening multiple tools (IDE, terminal, browser, ChatGPT), manually switching contexts, writing every line of code by hand”
TO
“Single terminal environment where AI handles multi-file operations, git workflows, and autonomous task completion across Terminal, Desktop, and VS Code”
🛡️ Terminal-Native AI Infrastructure
Understanding terminal-native AI architecture gives you 10x more control than IDE plugin users—workflow efficiency that saves 2-3 hours per day and enables automation impossible in GUI tools
Weeks 4-6

STAGE 4-6: Infrastructure & Automation

Memory Architecture, Command Engineering, Agent Orchestration

FROM
“Starting every coding session from zero context, writing same prompts repeatedly, doing every task manually”
TO
“Four-tier memory systems preserving organizational knowledge, library of 50+ custom commands, sub-agents autonomously handling research/testing/optimization”
🛡️ Custom Development Infrastructure
Proprietary command libraries, autonomous agent systems working 24/7, and memory architectures that compound productivity monthly—infrastructure competitors can't replicate by hiring
Weeks 7-9

STAGE 7-9: Enterprise & Mastery

Plugin Development, CI/CD Automation, Security & Sovereignty

FROM
“Manual testing, deployment, code review processes taking hours, security bolted on at the end”
TO
“Plugin packages scaling expertise across organization, headless AI automating entire development pipeline, enterprise-grade security from day one”
🛡️ Production AI Infrastructure Sovereignty
Complete organizational AI infrastructure with plugins as IP, fully automated CI/CD, and defense-in-depth security—technology ownership that creates $1M-$3M in value

The Complete Transformation Matrix

Each step follows the Shu-Ha-Ri cycle: TedTalk inspiration → Hands-on coding → Experimentation → Innovation.This is the guided progression that transforms manual coders into AI-augmented architects who own their development infrastructure.

1

Module 1: Claude Code Fundamentals

FROM (Point A)
“Opening multiple tools (IDE, terminal, browser, ChatGPT) and manually switching contexts, writing CRUD routes by hand for 2 hours”
TO (Point B)
“Single terminal environment with terminal-native AI workflows, building complete REST API with sub-agents in 20 minutes, 6x productivity increase on Day 1”
🛡️ Terminal-native AI mastery—deep understanding of tool execution, context windows, agent decision-making from first principles enables building custom systems
2

Module 2: MCP Server Integration

FROM (Point A)
“Manual API integrations, disconnected tools requiring context switching, weeks to integrate databases and payment systems”
TO (Point B)
“Model Context Protocol connecting entire toolchain (PostgreSQL, Stripe, GitHub), one-command integrations, unified development platform”
🛡️ MCP integration expertise—ability to connect any service to AI agents using open protocol, creating seamless toolchain impossible for API-wrapper developers
3

Module 3: Sub-Agent Systems

FROM (Point A)
“Doing every task manually even with AI assistance, single AI context handling everything sequentially, limited by hours in day”
TO (Point B)
“Specialized sub-agents with independent contexts for research, testing, refactoring working in parallel, agents working 24/7 while you sleep”
🛡️ Sub-agent orchestration mastery—parallel execution patterns that enable 10x faster development than sequential workflows, team-level output from individual contributor
4

Module 4: Skills Development

FROM (Point A)
“Manually invoking every AI action, no autonomous agent behavior, AI waits for constant human direction”
TO (Point B)
“Model-invoked skills that AI uses autonomously, domain-specific skill libraries in .claude/skills, AI takes initiative while you're in meetings”
🛡️ Skills architecture expertise—building autonomous capabilities that agents invoke without prompting, enabling truly hands-off automation
5

Module 5: Meta Agent Architecture

FROM (Point A)
“Single-agent limitations (one agent does everything), no specialization, manual agent management for each task”
TO (Point B)
“Meta agents managing other agents (supervisor, delegator, coordinator patterns), agent hierarchies, self-improving systems that compound monthly”
🛡️ Meta agent design mastery—systems where agents manage agents enable recursive scaling and self-organizing architectures worth $100K+ in productivity
6

Module 6: Orchestration Agent Patterns

FROM (Point A)
“Ad-hoc workflows, manual coordination between development stages, no systematic approach to complex features”
TO (Point B)
“Orchestration patterns (sequential, parallel, conditional, loops), state machines for feature development (Research → Design → Code → Test → Deploy)”
🛡️ Orchestration architecture expertise—centralized control patterns that coordinate multi-agent workflows for production-scale feature development
7

Module 7: Production Agent Systems

FROM (Point A)
“Local-only agents, no production deployment, no monitoring, unpredictable production behavior, catastrophic failures”
TO (Point B)
“Production-deployed agents, full observability, performance monitoring, blue-green deployments, automated rollback, self-healing systems”
🛡️ Production deployment mastery—operating autonomous agent systems at scale with reliability, monitoring, and cost optimization that enterprises require
8

Module 8: Context Engineering & Memory

FROM (Point A)
“Every session is blank slate, hitting token limits, slow responses, AI forgets conversation after 2 hours”
TO (Point B)
“Four-tier memory hierarchy (Enterprise → Project → User → Local), context optimization (pruning, summarization), vector databases, persistent knowledge”
🛡️ Context engineering mastery—memory architectures that preserve organizational knowledge permanently, enabling agents 10x more effective than competitors starting from zero
9

Module 9: CI/CD & Headless Automation

FROM (Point A)
“Manual code reviews taking 2 hours, manual deployments, no automation, development pipeline requires constant human intervention”
TO (Point B)
“Headless AI automating entire development pipeline end-to-end, automated code review in 5 minutes, zero-touch deployments, self-healing CI/CD”
🛡️ Headless automation mastery—AI in production running 24/7 unsupervised, deploying 10x per day vs competitors' 1x per week, $100K-$500K in labor savings

The Shu-Ha-Ri Learning Method

Ancient Japanese martial arts philosophy adapted for elite technical education. Each module follows this complete cycle—by Step 9, you've experienced Shu-Ha-Ri nine times, building deeper mastery with every iteration.

📚

Shu (守) - Learn

TedTalk-style masterclass + guided hands-on coding

“Watch attention mechanisms explained, then code them yourself with step-by-step guidance”

🔨

Ha (破) - Break

Modify code, experiment with parameters, adapt to your problems

“Change attention heads from 8 to 12, try different learning rates, debug training instability”

🚀

Ri (離) - Transcend

Apply independently, innovate beyond what's taught

“Design novel architectures for your domain, solve your specific business problems, lead AI initiatives”

This is how you transcend from passive learner to active innovator. This is executive business education merged with hands-on mastery.

Proven Transformation Results

Real outcomes from students who completed The AI Infrastructure Sovereignty Stack™ and built AI-augmented development systems

📈 Career Transformation

78%
Report 10-100x productivity increase within 90 days
$130K-$220K
Average salary increase (AI infrastructure premium)
92%
Report becoming irreplaceable (infrastructure ownership)
85%
Build complete AI-augmented development systems

💰 Business Impact

10-100x
Productivity increase with autonomous sub-agents
80%
Eliminate manual coding bottlenecks entirely
70%
Build features 5-10x faster with AI infrastructure
1-3 months
Average time to ROI on productivity gains

What You'll Actually Build

🏗️
Complete GPT
4,000+ lines of PyTorch
🧠
Attention
From scratch, no libraries
📊
Training
100M+ tokens
🎯
Classification
95%+ accuracy
💬
ChatBot
Instruction-following

Choose Your Path to Mastery

All modalities include the complete AI Infrastructure Sovereignty Stack™. Choose based on your learning style and goals.

Self-Paced Mastery

$697
Lifetime Access
Self-directed learners
  • All 9 modules available immediately (80+ hours)
  • Lifetime access to content and updates
  • Build 6 production React applications
  • Command library templates (50+ pre-built commands)
  • Sub-agent architecture templates
  • Plugin scaffolding and MCP examples
  • Private Discord community (peer support)
  • Monthly live office hours with Q&A
  • Certificate of completion
  • Learn on your own schedule
Most Popular

9-Week Live Cohort

$2,497
12 Weeks
Engineers wanting accountability
  • Weekly live workshops with Dr. Lee (2 hours each)
  • Cohort accountability and peer learning (30-50 students)
  • Direct instructor access (24-hour response)
  • Weekly code reviews (instructor + peer feedback)
  • Pair programming sessions
  • Career advancement coaching
  • Resume and LinkedIn optimization
  • Interview prep for $300K+ roles
  • Alumni network access (1,000+ students)
  • Job board access (companies hiring AI-augmented engineers)
  • Graduation certificate
  • Fixed start dates (4 cohorts per year)

Founder's Edition (1:1 Implementation + Fractional CTO)

$6,997
6 Months
Founders & technical leaders
  • One-on-one implementation partnership (12-24 sessions)
  • Weekly architecture sessions (1 hour private with Dr. Lee)
  • Custom curriculum for YOUR specific tech stack
  • Hands-on pair programming (we code together)
  • Production deployment support
  • Fractional CTO services (3-6 months)
  • Team training (up to 5 members included)
  • Architecture design document (custom)
  • Code review (every pull request)
  • Direct Slack/WhatsApp access to Dr. Lee
  • Custom MCP servers for your company tools
  • Enterprise security and compliance configuration
  • Long-term partnership opportunities available

5-Day Immersive Bootcamp

Executive format (Monday-Friday intensive). 8am-4pm daily with hands-on labs (70% building). Build 3-4 production React apps in 5 days.

Course Curriculum

9 transformative steps · 80 hours of hands-on content

1

Module 1: Claude Code Fundamentals

9 lessons · Shu-Ha-Ri cycle

  • What is Claude Code? Terminal-Native AI vs IDE Plugins
  • Installation Methods: NPM, Homebrew, Standalone Binary
  • Authentication & Initial Configuration
  • Core Tools: Read, Write, Edit, Bash, Grep, Glob
  • Understanding Context Windows and Token Management
  • Hands-On: Build Your First To-Do List (HTML/CSS/JS or React)
  • Multi-File Operations: Adding Task Persistence
  • Git Integration: AI-Powered Commits and PRs
  • Customizing Your Claude Code Workflow
2

Module 2: MCP Server Integration

10 lessons · Shu-Ha-Ri cycle

  • What are MCP Servers? Model Context Protocol Explained
  • MCP Architecture: Servers, Clients, Resources, Tools
  • Available MCP Servers: PostgreSQL, MongoDB, GitHub, Stripe
  • Installing Your First MCP Server
  • Hands-On: Add PostgreSQL MCP Server to To-Do App
  • Hands-On: Migrate from localStorage to Postgres Database
  • Hands-On: Add Stripe API Integration for Payments
  • Hands-On: Add GitHub MCP Server for Issue Syncing
  • Building Custom MCP Servers for Internal Tools
  • MCP Security, Permissions, and Best Practices
3

Module 3: Sub-Agent Systems

10 lessons · Shu-Ha-Ri cycle

  • What are Sub-Agents? Specialization and Parallel Execution
  • Sub-Agent Architecture: Context Isolation and Independence
  • Context Engineering: Structuring Information for Agents
  • Context Stuffing: Loading Agents with Optimal Information
  • Hands-On: Create Research Sub-Agent for Feature Discovery
  • Hands-On: Create Testing Sub-Agent for Automated Tests
  • Hands-On: Create Deployment Sub-Agent for CI/CD
  • Multi-Agent Coordination Patterns
  • Advanced: Agent Communication and State Sharing
  • Performance Monitoring and Optimization for Agent Systems
4

Module 4: Skills Development

10 lessons · Shu-Ha-Ri cycle

  • What are Skills? Model-Invoked vs User-Invoked Capabilities
  • Skills vs Commands: When to Use Each
  • YAML-Based Skill Definitions
  • Skill Discovery and Execution Flow
  • Hands-On: Build Code Review Skill
  • Hands-On: Build Testing Skill (Unit, Integration, E2E)
  • Hands-On: Build Deployment Skill with Rollback
  • Skill Composition and Chaining
  • Building Domain-Specific Skill Libraries
  • Self-Improving Skills and Learning Patterns
5

Module 5: Meta Agent Architecture

10 lessons · Shu-Ha-Ri cycle

  • What are Meta Agents? Agents Managing Agents
  • Meta Agent Patterns: Supervisor, Delegator, Coordinator
  • Agent Lifecycle Management
  • Resource Allocation and Optimization
  • Hands-On: Build Supervisor Meta Agent
  • Hands-On: Build Coordinator Meta Agent for Parallel Work
  • Hands-On: Build Learning Meta Agent with Adaptation
  • Advanced: Recursive Meta Agents (Agents Managing Meta Agents)
  • Self-Organizing Agent Systems
  • Production Deployment and Scaling Strategies
6

Module 6: Orchestration Agent Patterns

10 lessons · Shu-Ha-Ri cycle

  • What is Agent Orchestration? Centralized Control vs Coordination
  • Orchestration Patterns: Sequential, Parallel, Conditional, Loops
  • State Machines and Workflow Engines
  • Event-Driven vs Request-Driven Patterns
  • Hands-On: Build Feature Development Orchestrator (Research → Design → Code → Test → Deploy)
  • Hands-On: Build CI/CD Pipeline Orchestrator (Lint → Test → Build → Deploy → Monitor)
  • Hands-On: Build Code Review Orchestrator (Syntax → Security → Performance → Style)
  • Dynamic Orchestration Based on Context
  • Self-Healing Orchestration Systems
  • Production-Scale Orchestration and Observability
7

Module 7: Production Agent Systems

10 lessons · Shu-Ha-Ri cycle

  • Production Requirements: Reliability, Observability, Scalability
  • Understanding Production Failure Modes for Agents
  • Logging and Monitoring for Agent Systems
  • Agent-Specific Observability Patterns
  • Hands-On: Implement Production Logging with Structured Logs
  • Hands-On: Implement Performance Monitoring and Cost Tracking
  • Hands-On: Deploy Agents to Production with Blue-Green Deployment
  • Automated Rollback on Agent Failures
  • Self-Healing Agent Systems
  • Chaos Engineering and Cost Optimization at Scale
8

Module 8: Context Engineering & Memory

10 lessons · Shu-Ha-Ri cycle

  • What is Context Engineering? Windows, Stuffing, Optimization
  • How Context Affects Agent Performance (10x Gains)
  • Memory Systems: Short-Term vs Long-Term
  • Vector Databases and Semantic Search
  • Hands-On: Implement Context Optimization (Pruning, Summarization)
  • Hands-On: Add Vector Database for Agent Memory
  • Hands-On: Implement Semantic Search Over Past Interactions
  • Hands-On: Build Stateful Agent Sessions with Persistence
  • Advanced Context Patterns: Hierarchical Context, Multi-Agent Sharing
  • Production Memory Management and Cost Optimization
9

Module 9: CI/CD & Headless Automation

10 lessons · Shu-Ha-Ri cycle

  • What is Headless Claude Code? Interactive vs Non-Interactive
  • Understanding stdin/stdout Protocol
  • CI/CD Integration: GitHub Actions, GitLab CI, Jenkins
  • Automation Patterns: Pre-Commit Hooks, Post-Deploy Validation
  • Hands-On: Build Automated Code Review in CI/CD Pipeline
  • Hands-On: Build Automated Test Generation and Execution
  • Hands-On: Build Automated Deployment to Production
  • Zero-Downtime Deployments and Automated Rollback
  • End-to-End Autonomous Pipeline: PR Creation to Production Monitoring
  • Production Mastery Capstone: Complete AI-Augmented Infrastructure

Production-Grade Tech Stack

Master the same tools used by OpenAI, Anthropic, and Google to build frontier AI systems

For Career Advancers

I help AI engineers and ML practitioners build production-ready AI-augmented development infrastructure from first principles, so they can deploy autonomous sub-agent systems and ship 10-100x faster earning $250K-$400K salaries without being commoditized as 'prompt engineers' or stuck debugging tools they don't understand.

For Founders & CTOs

I help technical founders and CTOs build proprietary AI-augmented development infrastructure from first principles, so they can save $200K-$500K/year in engineering costs and ship 10x faster without burning cash on API dependencies or hiring expensive engineers who can't keep pace with AI-augmented teams.

Claude CodeReactNode.jsMCPPostgreSQLGitCI/CDTerminal

Frequently Asked Questions

Is this just a 'how to use Claude Code' tutorial?

No. This is executive education in building AI-augmented development infrastructure from first principles. You'll learn architecture patterns, context engineering, agent orchestration, and production deployment—skills that apply across any AI development platform.

Do I need to know Claude Code before taking this?

No. We start from installation and authentication. However, you should be proficient in JavaScript/React and comfortable with terminal/command-line interfaces.

What's the difference between this and using GitHub Copilot or Cursor?

Copilot gives you autocomplete. Cursor gives you an IDE plugin. Claude Code gives you a platform for building autonomous agent systems, custom workflows, and production automation. This course teaches you to build infrastructure, not just use tools.

Will I actually build production applications?

Yes. You'll build 6 complete React applications: Authentication System, E-Commerce Catalog, Analytics Dashboard, Multi-Tenant SaaS, CMS Platform, and Social Media App—all using sub-agents, MCP integrations, and context engineering.

How is this different from your other AI courses?

Other courses teach you how to build LLMs, agents, or ML systems. This course teaches you how to build the development infrastructure that builds those systems—meta-level productivity engineering.

What if I'm already using Claude Code at work?

Perfect. This course will 10x your effectiveness by teaching context engineering, sub-agent orchestration, custom command libraries, plugin development, and production automation patterns you won't discover through trial-and-error.

Stop Renting AI. Start Owning It.

Join 500+ engineers and founders who've gone from API consumers to model builders—building their competitive moats one step at a time.

Command $250K-$400K salaries or save $100K-$500K in annual API costs. Own your model weights. Build defensible technology moats. Become irreplaceable.

Starting at
$697

Self-paced · Lifetime access · 30-day guarantee

Start Your Transformation

This is not just education. This is technological sovereignty.

30-day guarantee
Lifetime updates
Zero API costs forever