Claude Code Training
Mastering Agentic Coding with AI

Lesson 1: Theoretical Foundation

  • What is Claude Code?
  • Strategic Value Proposition
  • Technical Architecture
  • Model Context Protocol (MCP)
  • Risk Assessment
  • Implementation Strategy

Lesson 2: Practical Implementation

  • Setup & Installation
  • Core Commands & Workflows
  • Advanced Patterns
  • CLAUDE.md Configuration
  • MCP Setup & Integration
  • Cost Management
Target Audience: Executives, Technologists, and Scientists
Total Duration: 60 minutes (30 min per lesson)

What is Claude Code?

Definition

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows -- all through natural language commands.

Key Differentiators

Agentic Nature
๐Ÿค–

Runs autonomously with minimal supervision

Terminal-Native
๐Ÿ’ป

Works directly in command line environments

Codebase Awareness
๐Ÿง 

Understands entire codebases and dependencies

First-Party Tool
๐ŸŽฏ

First tool of its kind from major AI provider

Strategic Value Proposition

Business Impact

Productivity Gains

  • Transform hours of debugging into seconds
  • Saves 1-2 days of routine work per model cycle
  • Enables building applications teams wouldn't have bandwidth for

Operational Efficiency

  • Reduces context switching between tools
  • Handles entire workflows end-to-end
  • Enables rapid prototyping

Competitive Advantage

Speed to Market

Accelerates development cycles significantly

Resource Optimization

Single developer can feel like "an everything guy"

Quality Improvement

Claude model family is best-in-class for agentic engineering

ROI & Cost Considerations

Cost Benefits

  • Reduced developer time on routine tasks
  • Faster debugging and issue resolution
  • Improved code quality through AI-assisted reviews

Investment Requirements

  • API pricing model - costs accumulate based on token usage
  • High token consumption - "breathtaking" amounts for complex tasks
  • Training and onboarding time for development teams

Pricing Options

Claude Pro/Max
$20-30

Monthly subscription includes Claude Code access

API Pricing
Pay-as-go

Standard Anthropic API rates

Enterprise
Bedrock/Vertex

Via Amazon Bedrock or Google Cloud

Technical Architecture & Capabilities

System Architecture

Core Components

  • Direct API connection to Anthropic without intermediate servers
  • Tiered permission system for different operation levels
  • Context-rich interaction using CLAUDE.md files

Model Options

Supported Models

  • Claude Opus 4
  • Claude Sonnet 4
  • Claude Haiku 3.5

Dual-Model Approach

Optimizes performance and cost using lightweight Haiku where appropriate

Platform Support

โœ… macOS, Linux, and Windows via WSL
โœ… Enterprise deployment via Amazon Bedrock and Google Cloud Vertex AI
โœ… Works with existing IDEs and development tools

Key Capabilities

Development Workflow Integration

  • Git workflow management
    commits, PRs, merge conflicts
  • GitHub, GitLab integration
    for issue management
  • Multi-file editing
    with dependency awareness
  • Test-driven development
    workflows

Advanced Features

Extended Thinking Modes

"think" < "think hard" < "think harder" < "ultrathink"
  • Headless mode for CI pipelines
  • Visual mock integration for UI development
  • Agentic search outperforms traditional RAG

Model Context Protocol (MCP) & Extensibility

What is MCP?

Model Context Protocol (MCP) is an open standard that enables Claude Code to connect with external tools, databases, and services, making it highly extensible for organization-specific needs.

Strategic Value

Ecosystem Integration

  • Connect to existing enterprise tools
  • Integrate with custom APIs and services
  • Extend capabilities without vendor lock-in
  • Build organization-specific workflows

Business Impact

  • Reduced Integration Costs
  • Faster Enterprise Onboarding
  • Consistent Development Experience

Available MCP Servers

GitHub MCP
๐Ÿ”—

Advanced repository management, issue tracking, code reviews

Database MCP
๐Ÿ—„๏ธ

Direct database queries and schema understanding

Slack MCP
๐Ÿ’ฌ

Team communication and notification integration

Custom MCP
โš™๏ธ

Build connectors for proprietary tools

Risk Assessment & Mitigation

Security Considerations

Data Protection

  • Store user feedback transcripts for only 30 days
  • Will not train models using feedback
  • Direct API connection eliminates intermediary exposure

Operational Risks

  • Arbitrary command execution risks
  • Potential data loss or system corruption
  • Data exfiltration via prompt injection

Mitigation Strategies

Technical Safeguards

# Safe autonomous mode claude --dangerously-skip-permissions # Use in Docker container without internet
  • Permission-based approval system
  • Docker Dev Container reference implementation

Governance Framework

  • Clear policies on autonomous vs supervised modes
  • Regular cost monitoring and budget controls
  • Team training on best practices

Implementation Strategy & Next Steps

Pilot Program Approach

Phase 1
๐Ÿงช

Small team pilot with non-critical projects

Phase 2
๐Ÿ“ˆ

Expand to larger teams with cost monitoring

Phase 3
๐Ÿš€

Organization-wide rollout with governance

Success Metrics

  • Development velocity improvements
  • Bug reduction rates
  • Developer satisfaction scores
  • Cost per feature delivered

Decision Framework

Go/No-Go Criteria

  • Team technical readiness
  • Cost tolerance for token usage
  • Security and compliance requirements
  • Integration with existing toolchain
Lesson 2: Practical Implementation
Hands-on Training for Technologists & Scientists

Learning Objectives

1. Setup & Installation (5 minutes)

Get Claude Code running in your environment

2. Core Commands & Workflows (8 minutes)

Master essential commands and basic workflows

3. Advanced Workflow Patterns (10 minutes)

Learn sophisticated development patterns

4. CLAUDE.md Configuration (4 minutes)

Provide effective context for better results

5. Model Context Protocol (MCP) Setup (4 minutes)

Extend Claude Code with external tools and integrations

6. Cost Management & Best Practices (3 minutes)

Optimize token usage and control costs

Setup & Installation

Installation Steps

# Install via npm
npm install -g @anthropic-ai/claude-code

# Navigate to your project directory
cd your-project

# Start Claude Code
claude

Authentication

Complete the one-time OAuth authentication with your Anthropic Console account or Claude Pro/Max subscription.

System Requirements

  • macOS, Linux, or Windows via WSL
  • Node.js for npm installation
  • Active billing account on Anthropic Console

Access Options

1. Claude Pro/Max subscription

Includes Claude Code access

2. Anthropic Console account

Pay-as-you-go API pricing

Core Commands & Workflows

Essential Commands

# Basic usage
claude "fix the type errors in the auth module"
claude "how does our authentication system work?"

# Git operations
claude commit  # Create commit with AI-generated message
claude "create a pr"
claude "rebase on main and resolve any merge conflicts"

# Context management
/cost          # Check current token usage and costs
/compact       # Summarize conversation history to reduce tokens
/clear         # Clear conversation context
/init          # Generate comprehensive CLAUDE.md guide for project

Thinking Modes

Use specific phrases to trigger extended thinking:

"think" (4,000 tokens) < "think hard" < "think harder" < "ultrathink" (31,999 tokens)

Permission Management

# Autonomous mode (USE CAREFULLY)
claude --dangerously-skip-permissions

# Best practice: Use in Docker container without internet

Advanced Workflow Patterns

Project Onboarding Pattern

# 1. Initial exploration
claude "what does the payment processing system do?"
claude "find where user permissions are checked"

# 2. Generate project documentation
/init  # Creates CLAUDE.md with project context

Problem-Solving Pattern

# 1. Research phase
claude "think hard about problem Y, investigate multiple approaches"

# 2. Planning phase  
claude "create a plan for solving this with 3 different strategies"

# 3. Implementation
claude "implement the best approach"

Test-Driven Development

# Step 1: Research and plan
claude "think about implementing feature X, research the codebase first"

# Step 2: Write failing tests
claude "write tests for feature X based on expected input/output pairs"

# Step 3: Commit tests
claude "commit the tests when satisfied"

# Step 4: Implement code
claude "now implement the feature to make tests pass"

Multi-File Refactoring

# Complex changes across codebase
claude "refactor the authentication system to use new error handling pattern"
claude "update all files that import the old auth module"

CLAUDE.md Configuration

Strategic Placement

# Project root: Overall project context
project-root/CLAUDE.md

# Module-specific: Component guidelines  
src/auth/CLAUDE.md

# Global: Organization standards
~/.config/claude/CLAUDE.md

Example CLAUDE.md Content

# Project Context

## Architecture
- Next.js frontend with TypeScript
- Express.js backend with PostgreSQL
- Redis for caching

## Coding Standards
- Use functional components with hooks
- Follow ESLint rules strictly
- Write unit tests for all business logic

## Common Commands
- `npm run test` - Run test suite
- `npm run lint` - Check code style
- `docker-compose up` - Start development environment

## Deployment
- Staging: Automatically deploys from main branch
- Production: Manual deployment via GitHub Actions

Model Context Protocol (MCP) Setup & Integration

What is MCP?

Model Context Protocol allows Claude Code to connect with external tools, databases, and services, extending its capabilities beyond basic coding tasks.

GitHub MCP Server Setup

# Install GitHub CLI and MCP server
gh auth login
npm install -g @anthropic-ai/mcp-server-github

# Configure Claude Code
# Add to ~/.config/claude/config.json
{
  "mcpServers": {
    "github": {
      "command": "mcp-server-github",
      "args": ["--token", "your-token"]
    }
  }
}

Database MCP Integration

# Example: PostgreSQL MCP server
npm install -g @anthropic-ai/mcp-server-postgres

# Usage with Claude Code
claude "query the users table to find accounts created this month"

MCP Workflow Examples

# GitHub integration workflows
claude "create an issue for the bug we just found"
claude "review the open PRs and summarize their status"
claude "check the CI status for the latest commit"

# Database workflows  
claude "analyze the performance of our recent queries"
claude "suggest optimizations for the user_analytics table"

# Slack integration
claude "notify the team channel about deployment completion"

Custom MCP Development

Organizations can build custom MCP servers for:

  • Internal APIs and microservices
  • Proprietary databases
  • Enterprise software integrations

Cost Management & Best Practices

Token Usage Optimization

# Monitor costs frequently
/cost

# Compact conversations to reduce token usage
/compact

# Clear context when starting new tasks
/clear

# Use environment variables for cost control
export DISABLE_PROMPT_CACHING=true

Cost-Effective Patterns

  1. Use /compact regularly after completing major tasks
  2. Break large tasks into smaller, focused sessions
  3. Monitor token usage with /cost command
  4. Set spending limits in Anthropic Console

When to Use Each Mode

Basic mode

Simple questions, small fixes

"think"

Planning, analysis tasks

"think hard/harder"

Complex refactoring, architecture decisions

"ultrathink"

Most challenging problems requiring deep analysis

Integration Patterns & Advanced Usage

CI/CD Integration

# Headless mode for automation
claude -p "fix all lint errors in the codebase" --headless

# GitHub Actions integration
- name: Fix code issues
  run: claude -p "address all failing tests" --headless

Safety Patterns

# Use containers for risky operations
docker run -it --rm -v $(pwd):/workspace claude-code-container
claude --dangerously-skip-permissions

# Regular checkpoints
claude "commit current progress before major changes"

MCP Server Integration

Claude Code works with Model Context Protocol servers for extended capabilities:

  • GitHub integration for issue management
  • Custom tools and APIs
  • Database connections
  • External service integrations

Debugging Workflow

# Systematic debugging approach
claude "analyze the error logs and identify root cause"
claude "think about the fix strategy with minimal risk"
claude "implement the fix and test thoroughly"

Key Takeaways

Start Small
๐ŸŽฏ

Begin with low-risk tasks to learn the tool

Monitor Costs
๐Ÿ’ฐ

Token usage can accumulate quickly

Use CLAUDE.md
๐Ÿ“‹

Provide context for better results

Think First
๐Ÿง 

Use thinking modes for complex problems

Safety First
๐Ÿ›ก๏ธ

Use containers for autonomous operations

Iterate
๐Ÿ”„

Use /compact to maintain efficient conversations

Next Steps

Hands-On Exercise (If time permits)

  1. Install Claude Code in a test repository
  2. Use /init to create project documentation
  3. Ask Claude to explain a complex part of your codebase
  4. Practice using /cost and /compact commands
  5. Try the test-driven development workflow with a small feature
Questions & Discussion
Let's explore your specific use cases

Common Questions

Executive Questions

How does this compare to GitHub Copilot or Cursor?

What's the total cost of ownership?

How do we measure ROI?

What are the security implications?

When should we start implementation?

Technical Questions

Integration with existing CI/CD pipelines?

How to set up MCP servers for our tools?

How to handle large codebases?

Best practices for team adoption?

Troubleshooting common issues?

Performance optimization strategies?

Thank you for attending!

For additional resources and support, visit the official Claude Code documentation and community forums.

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