John Kim – Build with Claude Code (Cohort 2) is an advanced AI engineering and software development training program designed to help developers master Claude Code and build production-ready applications using agentic engineering principles. Created by Meta Staff Software Engineer John Kim, this cohort-based course teaches how to transform AI from a simple coding assistant into a powerful development partner capable of planning, building, validating, and scaling complex software projects.
Rather than focusing on basic prompting techniques, Build with Claude Code dives deep into context engineering, custom skills, MCP integrations, browser automation, multi-agent workflows, and automated validation systems that enable developers to dramatically accelerate software delivery while maintaining code quality.
What’s Included
Inside Build with Claude Code (Cohort 2), you’ll get access to:
- Live Interactive Training Sessions
- Lifetime Access to Recordings
- Claude Code Fundamentals Training
- Context Engineering Frameworks
- Custom Skills Development
- Model Context Protocol (MCP) Training
- Browser Automation Workflows
- Multi-Agent Development Systems
- Git Worktree Parallel Development Methods
- Agentic Engineering Frameworks
- Validation & Testing Automation
- Real-World Assignments
- Capstone Project Implementation
- Peer Community Access
- Certificate of Completion
Course Curriculum
Session 1 – Claude Code Fundamentals
Build a strong foundation for AI-assisted software engineering.
Topics include:
- Claude Code CLI Setup
- Agentic Development Loop
- Interactive Coding Sessions
- Slash Commands & Shortcuts
- Permission Systems
- Planning Mode Workflows
- Context Management Techniques
- Memory Systems & CLAUDE.md
- Second Brain Frameworks
- Lazy Loading Strategies
Context Engineering
Learn how to optimize Claude’s performance using structured context systems.
You’ll learn:
- Context Window Management
- Fresh & Condensed Context Principles
- Context Compression Techniques
- Memory Layer Architecture
- Long-Term Knowledge Management
- AI Readiness Optimization
Skills Automation
Discover how to create reusable workflows that automate development tasks.
Topics include:
- Skill Creation
- SKILL.md Structure
- Workflow Automation
- Built-In vs Custom Skills
- Nested Skill Systems
- Reusable Development Pipelines
Practical Assignments
Codebase Onboarding
Learn how to rapidly understand unfamiliar projects.
Projects include:
- Architecture Analysis
- Repository Audits
- Test Coverage Evaluation
- Documentation Generation
- Engineering Reviews
CLAUDE.md Implementation
Build project memory systems that eliminate repetitive prompting.
You’ll learn:
- Documentation Standards
- Team Knowledge Systems
- Codebase Conventions
- AI-Friendly Repository Design
Log Triage Automation
Create custom automation workflows for engineering operations.
Topics include:
- Log Processing
- API Integration
- Report Generation
- Automated Categorization
- Custom Command Creation
Session 2 – Scaling with Agentic Engineering
Move beyond individual workflows and build scalable AI development systems.
MCP (Model Context Protocol)
Learn how to connect Claude Code to external systems.
Topics include:
- MCP Fundamentals
- MCP Server Setup
- External Tool Integration
- Figma Integration
- Notion Integration
- Slack Automation
- Custom MCP Workflows
Browser Automation
Use Claude to interact with applications visually.
You’ll learn:
- Automated Navigation
- Screenshot Analysis
- Console Monitoring
- Visual Verification
- Regression Testing
- Self-Correcting UI Workflows
Agentic Engineering Systems
Master advanced development automation.
Covered topics:
- Hook Lifecycle Management
- Agent Workflows
- Self-Correcting Loops
- Build → Verify → Fix Systems
- Automated Development Pipelines
Parallel Development Workflows
One of the most advanced sections of the course focuses on multi-agent software development.
Topics include:
Git Worktrees
- Parallel Development Environments
- Branch Isolation
- Safe Experimentation
- Multi-Feature Development
Multi-Agent Teams
Learn how to manage multiple AI coding agents simultaneously.
You’ll discover:
- Agent Roles
- Team Coordination
- Task Decomposition
- Workflow Delegation
- Agent Communication Systems
Validation Systems
Build automated quality control frameworks.
Topics include:
- Automated Testing
- Linting Pipelines
- Quality Assurance
- Visual Validation
- Continuous Verification
Capstone Project
Apply everything learned by building a complete production-ready application.
Projects include:
- Full-Stack Applications
- AI-Powered Products
- SaaS Platforms
- Custom Internal Tools
- Startup Projects
You’ll implement:
- CLAUDE.md Systems
- Context Frameworks
- MCP Integrations
- Agent Teams
- Custom Skills
- Automated Validation Pipelines
The Five Pillars of Agentic Engineering
The course introduces a framework for scaling AI-assisted software development.
Key concepts include:
- Context Management
- Skill Systems
- Agent Coordination
- Validation Automation
- Development Infrastructure
These pillars help developers move from simple AI-assisted coding to fully integrated AI engineering workflows.
What You’ll Learn
By completing John Kim – Build with Claude Code (Cohort 2), you’ll learn how to:
- Master Claude Code workflows
- Build production-ready AI-assisted applications
- Create custom skills and automations
- Implement MCP integrations
- Manage large context systems
- Build self-correcting development loops
- Run parallel AI coding workflows
- Improve development velocity
- Reduce repetitive engineering work
- Scale software development with agent teams
Why This Course Stands Out
Unlike most AI coding tutorials that focus on prompts and small examples, this course teaches:
- Production-level AI engineering
- Real-world software development workflows
- Multi-agent systems
- Context engineering
- Automated validation
- Team-scale AI implementation
The emphasis is on building repeatable systems rather than relying on one-off prompts.
Who This Course Is For
This training is ideal for:
- Software Engineers
- Full-Stack Developers
- Backend Engineers
- Frontend Developers
- AI Engineers
- Startup Founders
- Technical Leads
- Engineering Managers
- Product Engineers
- Developers using Claude Code
About John Kim
John Kim is a Staff Software Engineer at Meta known for teaching practical AI engineering workflows and modern software development systems. His approach focuses on helping developers leverage AI tools effectively while maintaining professional engineering standards and scalable development practices.
Why You’ll Love Build with Claude Code
- Learn advanced Claude Code workflows
- Build production-ready applications faster
- Master agentic engineering principles
- Create reusable development automations
- Scale development with AI agents
- Implement MCP integrations
- Improve engineering efficiency
- Automate validation and testing
- Reduce context-switching
- Build modern AI-powered workflows
Final Thoughts
John Kim – Build with Claude Code (Cohort 2) is one of the most comprehensive training programs available for developers who want to master AI-assisted software engineering. By combining Claude Code, context engineering, MCP integrations, custom skills, browser automation, multi-agent systems, and production-grade validation workflows, this course provides a complete framework for building and shipping software faster while maintaining engineering quality.
Get John Kim – Build with Claude Code (Cohort 2) today.
