Claude Code Examples

Learn Claude Code through practical examples and real-world workflows. From quick one-liners to complex development scenarios.

Quick Commands

One-liner solutions

Workflows

Development processes

IDE Integration

Editor workflows

Advanced

Complex scenarios

Quick Commands

Powerful one-liner commands for rapid development and common tasks.

Code Quality & Fixes

Essential Commands

Fix TypeScript Errors

claude -p "fix all TypeScript errors"

Lint and Format

claude --dangerously-skip-permissions -p "lint and format all files"

Add Error Handling

claude -p "add proper error handling to all functions"

Optimize Performance

claude -p "optimize this component for better performance"

Testing & Documentation

Quality Assurance

Add Unit Tests

claude -p "add comprehensive unit tests for the auth module"

Generate Documentation

claude -p "generate JSDoc comments for all functions"

Create API Tests

claude -p "create integration tests for the REST API endpoints"

Add Type Definitions

claude -p "add TypeScript type definitions for all interfaces"

Git & Version Control

Version Control

Smart Commits

claude -p "create commit message for current changes"

PR Review

claude -p "review this PR and suggest improvements"

Merge Conflicts

claude -p "resolve merge conflicts intelligently"

Development Workflows

Complete development scenarios from project setup to deployment.

New Project Setup

30-45 Minutes

Complete workflow for setting up a new project with modern best practices.

Step 1: Project Initialization

# Start Claude Code in your project directory
cd my-new-project
claude

# Initialize project with best practices
> "Create a modern React TypeScript project with:
- Vite for build tooling
- ESLint and Prettier configuration
- Tailwind CSS for styling
- Jest and Testing Library for testing
- GitHub Actions for CI/CD
- Proper folder structure and documentation"

Step 2: Development Setup

# Generate project documentation
/init

# Set up development environment
> "Configure development environment with:
- VS Code settings and extensions
- Git hooks for code quality
- Environment variables setup
- Docker configuration for consistency
- README with setup instructions"

Expected Outcome:

  • Fully configured project structure
  • Development tools and linting setup
  • Testing framework configured
  • CI/CD pipeline ready
  • Documentation and setup guides

Feature Development Cycle

TDD Approach

Test-driven development workflow for building robust features.

1. Planning & Design

# Plan the feature
> "I need to build a user authentication system. 
Help me plan the architecture, identify components, 
and create a development roadmap."

# Create feature branch
> "Create a new git branch for the auth feature 
and set up the initial file structure."

2. Test-First Development

# Write tests first
> "Write comprehensive tests for the authentication 
system including login, logout, token validation, 
and error handling scenarios."

# Implement features
> "Implement the authentication logic to make 
all tests pass, following security best practices."

3. Integration & Review

# Integration testing
> "Add integration tests and ensure the auth 
system works with the existing application."

# Code review preparation
> "Prepare this feature for code review by 
adding documentation and cleaning up the code."

Debugging & Troubleshooting

Problem Solving

Systematic approach to identifying and fixing complex issues.

Issue Analysis

# Analyze error logs
> "Analyze these error logs and identify the root cause:
[paste error logs]
Suggest debugging steps and potential fixes."

# Performance investigation
> "The application is slow. Help me identify 
performance bottlenecks and optimization opportunities."

Solution Implementation

# Fix implementation
> "Implement the fix for the memory leak issue 
we identified, including proper cleanup and testing."

# Monitoring setup
> "Add monitoring and logging to prevent 
this issue from happening again."

IDE Integration Examples

Seamless integration with VS Code, Cursor, and other popular editors.

VS Code Integration

Beta Extension

Use Claude Code directly within VS Code with inline edit suggestions.

Setup Process:

# 1. Install VS Code extension
code --install-extension anthropic.claude-code

# 2. Start Claude Code in terminal
claude

# 3. Connect to IDE
/ide

# 4. Use keyboard shortcut
# Cmd+Esc (Mac) / Ctrl+Esc (Windows/Linux)

Workflow Example:

  1. Select code in VS Code
  2. Press Cmd+Esc to invoke Claude
  3. Ask for refactoring or improvements
  4. Review inline suggestions
  5. Accept or modify changes

Pro Tip: Claude's proposed edits appear inline in your files, making review and tracking seamless within the familiar editor interface.

Cursor Integration

Native Support

Enhanced workflow with Cursor's AI-first editor and Claude Code integration.

Setup Process:

# 1. Open project in Cursor
cursor .

# 2. Start Claude Code in integrated terminal
claude

# 3. Use both tools together for maximum productivity

Combined Workflow:

  1. Use Cursor for quick edits and suggestions
  2. Use Claude Code for complex refactoring
  3. Leverage both for comprehensive code review
  4. Combine AI insights for better decisions

Example Commands:

# In Claude Code terminal
> "Analyze the code Cursor just generated and suggest improvements"

> "Refactor this component to work better with Cursor's suggestions"

> "Create tests for the code we just built together"

Universal IDE Access

Any Editor

Use Claude Code with any editor through terminal integration and context sharing.

Context Sharing

  • Open files automatically shared
  • Current selections included
  • Linter errors provided
  • Project structure understood

Visual Diffs

  • See changes before applying
  • Review modifications inline
  • Accept or reject suggestions
  • Undo changes if needed

Keyboard Shortcuts

  • Cmd+Esc (Mac)
  • Ctrl+Esc (Windows/Linux)
  • Quick access from any editor
  • Seamless workflow integration

Advanced Scenarios

Complex development scenarios showcasing Claude Code's full potential.

Enterprise Legacy Migration

Multi-Week Project

Migrating a large legacy codebase to modern technologies with Claude Code assistance.

Phase 1: Analysis & Planning

# Codebase analysis
> "Analyze this legacy Java application and create 
a migration plan to Spring Boot 3 and modern practices. 
Identify dependencies, security issues, and technical debt."

# Architecture planning
> "Design a microservices architecture for this monolith. 
Create a phased migration strategy with minimal downtime."

Phase 2: Incremental Migration

# Module-by-module migration
> "Migrate the user authentication module to Spring Boot 3. 
Maintain backward compatibility and add comprehensive tests."

# Database migration
> "Update database schema and create migration scripts 
for the new microservice architecture."

Key Benefits:

  • Automated code transformation and modernization
  • Comprehensive testing strategy for each migration phase
  • Documentation generation for new architecture
  • Risk assessment and mitigation strategies

Multi-Language Full-Stack Project

Complex Architecture

Building a full-stack application with multiple languages and technologies.

Frontend (React/TypeScript)

# Modern React setup
> "Create a React TypeScript application with:
- Next.js 14 with App Router
- Tailwind CSS and Shadcn/ui
- React Query for state management
- Comprehensive testing setup"

Backend (Python/FastAPI)

# API development
> "Build a FastAPI backend with:
- SQLAlchemy ORM with PostgreSQL
- JWT authentication
- OpenAPI documentation
- Async request handling
- Comprehensive error handling"

DevOps (Docker/K8s)

# Infrastructure setup
> "Create Docker containers and Kubernetes 
manifests for deployment. Include:
- Multi-stage builds
- Health checks
- Horizontal pod autoscaling
- Monitoring and logging"

AI/ML Pipeline Development

Data Science

Building end-to-end machine learning pipelines with Claude Code assistance.

Data Pipeline

# Data processing
> "Create a data pipeline that:
- Ingests data from multiple sources
- Cleans and preprocesses the data
- Performs feature engineering
- Validates data quality
- Stores processed data efficiently"

Model Development

# ML model creation
> "Build a machine learning model with:
- Scikit-learn for traditional ML
- PyTorch for deep learning
- MLflow for experiment tracking
- Model validation and testing
- Production deployment pipeline"

Production Considerations:

  • Model versioning and rollback strategies
  • A/B testing framework for model comparison
  • Monitoring for model drift and performance
  • Automated retraining pipelines

Pro Tips & Best Practices

Workflow Optimization

  • Use /clear between major tasks to save tokens
  • Press + "continue" for next steps
  • Use Esc to stop Claude immediately
  • Leverage /compact to keep summaries
  • Document everything in CLAUDE.md

Safety & Permissions

  • Review changes before accepting
  • Use /permissions to manage tool access
  • Test dangerous operations in containers
  • Keep backups of important code
  • Use version control for all changes

Performance Tips

  • Use specific, targeted questions
  • Provide context for better results
  • Break complex tasks into steps
  • Use planning mode for exploration
  • Monitor token usage with /cost
All Claude Commands