Tutorials

AI Development Basics - Project Bolt Platform

Master the fundamentals of AI-powered development with Project Bolt. Learn to leverage AI assistants, code completion, and intelligent development features.

•Project Bolt Team

AI Assistant Basics

Learn how to leverage Project Bolt's AI capabilities to enhance your development workflow.

Introduction to AI Features

Project Bolt comes with powerful AI capabilities:

  • Intelligent Code Completion
  • Natural Language to Code Translation
  • Code Explanation and Documentation
  • Bug Detection and Fixes
  • Performance Optimization Suggestions

Getting Started with AI Assistant

1. Enable AI Features

In your Project Bolt environment:

bolt ai enable

2. Configure AI Settings

Update your project's AI configuration:

// bolt.config.js
module.exports = {
  ai: {
    suggestions: true,
    autoComplete: true,
    documentation: true,
    security: true,
    performance: true
  }
}

Using AI Features

Code Completion

The AI assistant will suggest code completions as you type:

// Example: AI will suggest function completions
function calculateTotal(items: Product[]) {
  // Type 'return items.' and wait for AI suggestions
  return items.reduce((total, item) => total + item.price, 0);
}

Natural Language Commands

Use comments to instruct the AI:

// AI: Create a function to validate email addresses
function validateEmail(email: string): boolean {
  const regex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
  return regex.test(email);
}

Code Explanation

Get explanations for complex code:

// AI: Explain this code
const memoizedFunction = useMemo(() => {
  return expensiveCalculation(props.data);
}, [props.data]);

Bug Detection

The AI will proactively identify potential issues:

// Example of AI detecting a potential memory leak
useEffect(() => {
  const interval = setInterval(() => {
    // AI will suggest adding cleanup
    updateData();
  }, 1000);
  return () => clearInterval(interval);
}, []);

Advanced Features

Custom AI Rules

Create custom rules for your project:

// .boltai/rules.js
module.exports = {
  naming: {
    components: 'PascalCase',
    hooks: 'camelCase',
    utils: 'camelCase'
  },
  suggestions: {
    performance: true,
    security: true,
    accessibility: true
  }
};

AI-Powered Testing

Generate test cases automatically:

// AI: Generate tests for this function
function add(a: number, b: number): number {
  return a + b;
}

// AI will generate:
describe('add function', () => {
  test('adds two positive numbers', () => {
    expect(add(2, 3)).toBe(5);
  });
  
  test('handles negative numbers', () => {
    expect(add(-1, 1)).toBe(0);
  });
});

Performance Optimization

Get AI suggestions for performance improvements:

// AI will suggest using useMemo for expensive calculations
const expensiveResult = useMemo(() => {
  return data.map(item => complexCalculation(item));
}, [data]);

Best Practices

  1. Clear Comments: Write clear, specific comments for AI instructions
  2. Regular Updates: Keep your AI models updated
  3. Verify Suggestions: Always review AI-generated code
  4. Custom Training: Train the AI on your codebase for better suggestions

Troubleshooting

Common AI-related issues:

Slow Suggestions

# Clear AI cache
bolt ai clear-cache

# Update AI models
bolt ai update

Inaccurate Suggestions

# Retrain AI on your codebase
bolt ai train

# Reset AI settings
bolt ai reset

Next Steps

  1. Explore Code Generation
  2. Learn about Smart Debugging
  3. Check out our AI Model Training guide

Remember that AI is a tool to enhance your development workflow, not replace your judgment. Always review and understand the code suggestions before implementing them.