Build with Claude Code

Build with Claude Code - John Kim

Learn how to use Claude Code for software development, build AI-powered engineering workflows, create reusable agent systems, implement MCP integrations, and develop production-ready applications with agentic engineering principles.

Most developers use AI tools as advanced autocomplete systems.

While helpful, this approach leaves enormous productivity gains untapped because it doesn't leverage the full capabilities of AI agents, automated workflows, context management, and autonomous development systems.

Build with Claude Code by John Kim teaches developers how to move beyond simple prompting and adopt agentic engineering practices that enable AI-assisted software development at scale.

The program focuses on Claude Code fundamentals, context engineering, skills automation, MCP integrations, multi-agent workflows, parallel development, validation systems, and production-grade engineering processes.

Key Benefits

✅ Learn Claude Code from beginner to advanced level

✅ Master agentic engineering workflows

✅ Build production-ready AI-assisted applications

✅ Create reusable Claude Code skills

✅ Learn context engineering techniques

✅ Implement MCP integrations with external tools

✅ Build multi-agent development workflows

✅ Automate software engineering tasks

✅ Improve development productivity

✅ Learn parallel development strategies

✅ Create AI-ready codebases

✅ Develop scalable engineering systems

What You'll Learn

Claude Code Foundations

• Understanding Claude Code workflows
• Installation and setup
• Interactive development sessions
• Command-line productivity techniques

The Agentic Loop

• Gather → Act → Verify methodology
• Structured problem-solving workflows
• AI-assisted development processes
• Building reliable engineering systems

Context Engineering

• Managing context windows effectively
• Context optimization principles
• Memory management systems
• Building long-term project knowledge

Claude Memory Systems

• Using CLAUDE.md effectively
• Creating project documentation
• Building second-brain systems
• Maintaining persistent project context

Skills & Workflow Automation

• Creating reusable Claude skills
• Designing SKILL.md workflows
• Building automation systems
• Composing complex skill chains

Codebase Onboarding

• Understanding unfamiliar repositories
• Architecture analysis workflows
• Documentation generation
• Project exploration techniques

AI-Assisted Development

• Feature implementation workflows
• Code generation best practices
• Refactoring with AI
• Improving engineering efficiency

MCP (Model Context Protocol)

• Understanding MCP architecture
• Connecting external systems
• Building AI-powered integrations
• Extending Claude capabilities

External Tool Integrations

• GitHub integrations
• Database connections
• Slack integrations
• Custom tooling systems

Browser Automation

• Automated browser workflows
• Visual testing techniques
• Screenshot validation
• Frontend verification systems

Multi-Agent Development

• Managing multiple AI agents
• Agent coordination strategies
• Task decomposition workflows
• Team-based AI development

Parallel Engineering Workflows

• Git worktree management
• Parallel feature development
• Conflict resolution techniques
• Accelerating software delivery

Agentic Validation Systems

• Automated testing workflows
• Self-correcting development loops
• Validation harness design
• Quality assurance automation

Production AI Engineering

• Building scalable applications
• AI-ready codebase design
• Deployment workflows
• Production-grade engineering practices

Capstone Project Development

• Building a complete application
• Implementing agentic workflows
• Creating reusable engineering systems
• Shipping production-ready software

Course Features

• Live cohort-based training
• Claude Code implementation workshops
• Agentic engineering frameworks
• Context engineering training
• MCP integration lessons
• Multi-agent development systems
• Parallel development workflows
• Real-world coding projects
• Office hour Q&A sessions
• Lifetime access to recordings

Who It's For

• Software engineers
• Full-stack developers
• Backend developers
• Frontend developers
• AI engineers
• Machine learning engineers
• Technical founders
• Engineering managers
• Product engineers
• Developers looking to master AI-assisted software development