Claude Skills Guide

Claude Code Netlify Serverless Functions Workflow

Building serverless APIs has never been easier than with Netlify Functions combined with Claude Code. This workflow enables you to rapidly develop, test, and deploy backend functionality without managing infrastructure. In this guide, you’ll discover how to use Claude Code to create robust serverless functions that integrate smoothly with your projects.

Why Combine Claude Code with Netlify Functions

Netlify Functions provide serverless execution environment powered by AWS Lambda, allowing you to run backend code without provisioning or managing servers. When paired with Claude Code, you gain an AI-powered development assistant that understands your project context and helps you write, debug, and optimize your serverless functions.

The combination offers several compelling advantages:

Setting Up Your Development Environment

Before diving into serverless development, ensure your local environment is properly configured. You’ll need Node.js, the Netlify CLI, and of course, Claude Code installed.

Installing Dependencies

Start by installing the Netlify CLI globally:

npm install -g netlify-cli

Next, initialize a new Netlify project or navigate to your existing one:

netlify init
netlify functions:create

When prompted, choose a function template that matches your needs—HTTP functions are the most common choice for API endpoints.

Project Structure for Netlify Functions

Organize your functions in a logical directory structure. A typical setup looks like this:

my-project/
├── netlify/
│   └── functions/
│       ├── api/
│       │   ├── users.js
│       │   └── products.js
│       └── utils/
│           └── helpers.js
├── src/
│   └── (frontend code)
├── netlify.toml
└── package.json

This structure keeps related functions together and makes it easy for Claude Code to understand your project organization.

Creating Your First Serverless Function

Let’s build a practical API endpoint that demonstrates key patterns. Start with a simple greeting function that shows proper structure, query parameter handling, and CORS headers:

// netlify/functions/hello.js

exports.handler = async function(event, context) {
  try {
    // Only allow GET requests
    if (event.httpMethod !== 'GET') {
      return {
        statusCode: 405,
        body: JSON.stringify({ error: 'Method Not Allowed' })
      };
    }

    // Parse query parameters
    const queryParams = event.queryStringParameters || {};
    const name = queryParams.name || 'World';

    // Return successful response
    return {
      statusCode: 200,
      headers: {
        'Content-Type': 'application/json',
        'Access-Control-Allow-Origin': '*'
      },
      body: JSON.stringify({
        message: `Hello, ${name}!`,
        timestamp: new Date().toISOString()
      })
    };
  } catch (error) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: 'Internal Server Error' })
    };
  }
};

Handling Different HTTP Methods

A robust API function should handle various HTTP methods appropriately:

exports.handler = async (event, context) => {
  const { httpMethod, body, queryStringParameters } = event

  // Only allow GET and POST
  if (!['GET', 'POST'].includes(httpMethod)) {
    return {
      statusCode: 405,
      body: JSON.stringify({ error: 'Method not allowed' })
    }
  }

  try {
    if (httpMethod === 'GET') {
      // Handle GET request - return data
      const userId = queryStringParameters?.id

      return {
        statusCode: 200,
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({
          users: [
            { id: 1, name: 'Alice', email: 'alice@example.com' },
            { id: 2, name: 'Bob', email: 'bob@example.com' }
          ]
        })
      }
    }

    if (httpMethod === 'POST') {
      // Handle POST request - create resource
      const payload = JSON.parse(body)

      // Validate input
      if (!payload.name || !payload.email) {
        return {
          statusCode: 400,
          body: JSON.stringify({ error: 'Name and email required' })
        }
      }

      const newUser = {
        id: Date.now(),
        name: payload.name,
        email: payload.email
      }

      return {
        statusCode: 201,
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(newUser)
      }
    }
  } catch (error) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: 'Internal server error' })
    }
  }
}

Building a REST API with Multiple Endpoints

For a more complete API with full CRUD operations, describe your requirements to Claude:

Create a REST API in netlify/functions/ using these endpoints:
- GET /api/users - returns list of users
- GET /api/users/{id} - returns single user
- POST /api/users - creates new user
- DELETE /api/users/{id} - deletes user
Use an in-memory array for storage initially, include validation

Claude generates organized code with a single function handling all operations via a switch on the HTTP method:

// netlify/functions/users.js

// In-memory storage (replace with database in production)
const users = [
  { id: '1', name: 'Alice', email: 'alice@example.com' },
  { id: '2', name: 'Bob', email: 'bob@example.com' }
];

exports.handler = async function(event, context) {
  const pathParts = event.path.split('/').filter(Boolean);
  const userId = pathParts[pathParts.length - 1];

  switch (event.httpMethod) {
    case 'GET':
      if (userId && userId !== 'users') {
        return getUserById(userId);
      }
      return getAllUsers();

    case 'POST':
      return createUser(event.body);

    case 'DELETE':
      return deleteUser(userId);

    default:
      return {
        statusCode: 405,
        body: JSON.stringify({ error: 'Method Not Allowed' })
      };
  }
};

function getAllUsers() {
  return {
    statusCode: 200,
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify(users)
  };
}

function getUserById(id) {
  const user = users.find(u => u.id === id);
  if (!user) {
    return {
      statusCode: 404,
      body: JSON.stringify({ error: 'User not found' })
    };
  }
  return {
    statusCode: 200,
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify(user)
  };
}

function createUser(body) {
  const data = JSON.parse(body);
  if (!data.name || !data.email) {
    return {
      statusCode: 400,
      body: JSON.stringify({ error: 'Name and email required' })
    };
  }
  const newUser = {
    id: String(users.length + 1),
    name: data.name,
    email: data.email
  };
  users.push(newUser);
  return {
    statusCode: 201,
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify(newUser)
  };
}

function deleteUser(id) {
  const index = users.findIndex(u => u.id === id);
  if (index === -1) {
    return {
      statusCode: 404,
      body: JSON.stringify({ error: 'User not found' })
    };
  }
  users.splice(index, 1);
  return {
    statusCode: 204,
    body: ''
  };
}

This pattern scales well as you add more endpoints. Each function can handle related operations, keeping your code organized.

Leveraging Claude Code for Function Development

Claude Code excels at helping you develop serverless functions efficiently. Here’s how to maximize your productivity.

Generating Boilerplate Code

When you need a new function, describe your requirements to Claude:

“Create a Netlify function that handles image uploads to an S3 bucket, generates thumbnails, and returns the image URLs.”

Claude will generate the complete function with proper imports, error handling, and AWS SDK integration.

Debugging Function Issues

When functions fail, provide Claude with the error details and relevant code. It can help you identify issues like:

Adding TypeScript Support

For larger projects, TypeScript provides better type safety. Claude can help you set up TypeScript functions:

// functions/users.ts
import { Handler, APIGatewayEvent, APIGatewayProxyResult } from 'aws-lambda'

interface User {
  id: number
  name: string
  email: string
}

export const handler: Handler = async (
  event: APIGatewayEvent
): Promise<APIGatewayProxyResult> => {
  const users: User[] = [
    { id: 1, name: 'Alice', email: 'alice@example.com' }
  ]
  
  return {
    statusCode: 200,
    body: JSON.stringify(users)
  }
}

Best Practices for Production Functions

Follow these guidelines to ensure your serverless functions perform well and remain maintainable.

Environment Configuration

Never hardcode sensitive values. Use Netlify’s environment variable system, configured through the Netlify dashboard or via netlify env:set. For functions that proxy external APIs, check for required variables at startup and return a clear error when they are missing:

// netlify/functions/external-api.js

exports.handler = async function(event, context) {
  const API_KEY = process.env.EXTERNAL_API_KEY;
  const API_URL = process.env.API_URL || 'https://api.example.com';

  if (!API_KEY) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: 'Server configuration error' })
    };
  }

  try {
    const response = await fetch(`${API_URL}/data`, {
      headers: {
        'Authorization': `Bearer ${API_KEY}`,
        'Content-Type': 'application/json'
      }
    });

    if (!response.ok) {
      return {
        statusCode: response.status,
        body: JSON.stringify({ error: 'External API error' })
      };
    }

    const data = await response.json();
    return {
      statusCode: 200,
      headers: {
        'Content-Type': 'application/json',
        'Cache-Control': 'public, max-age=300'
      },
      body: JSON.stringify(data)
    };
  } catch (error) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: 'Failed to fetch data' })
    };
  }
};

Store sensitive values in Netlify’s environment variable settings and never commit them to your repository.

Proper Error Handling

Always wrap your function logic in try-catch blocks and return meaningful error responses:

exports.handler = async (event, context) => {
  try {
    // Primary logic
    const result = await processRequest(event)
    return successResponse(result)
  } catch (error) {
    console.error('Function error:', error)
    return errorResponse(500, 'Processing failed')
  }
}

function successResponse(data) {
  return {
    statusCode: 200,
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify(data)
  }
}

function errorResponse(statusCode, message) {
  return {
    statusCode,
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ error: message })
  }
}

Cold Start Optimization

Serverless functions may experience delays on first invocation. Optimize by:

// Connection reused across invocations
let dbClient = null

async function getDbClient() {
  if (!dbClient) {
    dbClient = await connectToDatabase()
  }
  return dbClient
}

exports.handler = async (event, context) => {
  const db = await getDbClient()
  // Use existing connection
}

Deploying and Testing Your Functions

Local Development

Use Netlify CLI to test functions locally:

netlify dev

This starts a local server that mimics Netlify’s production environment, including function invocation. Test endpoints with curl:

curl http://localhost:1313/.netlify/functions/hello?name=Developer

Add convenience scripts to your package.json:

{
  "scripts": {
    "dev": "netlify dev",
    "test": "echo \"No tests configured\" && exit 0",
    "deploy": "netlify deploy --prod"
  }
}

Deploying to Production

Push your code to your repository and Netlify will automatically deploy:

git add .
git commit -m "Add user API functions"
git push origin main

Monitor deployment status in the Netlify dashboard. Once deployed, your functions are available at https://your-site.netlify.app/.netlify/functions/function-name.

Conclusion

Combining Claude Code with Netlify Functions creates a powerful development workflow for building serverless APIs. Claude accelerates development through intelligent code generation, debugging assistance, and best practice recommendations. Meanwhile, Netlify handles the infrastructure complexity, letting you focus on writing business logic.

Start with simple functions, gradually adding complexity as you become comfortable with the patterns. Soon you’ll be building sophisticated serverless backends faster than ever before.

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