npm install @anthropic-ai/sdk

pip install anthropic

import Anthropic from '@anthropic-ai/sdk';

const anthropic = new Anthropic({
  apiKey: process.env.ANTHROPIC_API_KEY,
});

import anthropic
client = anthropic.Anthropic(
    api_key="your-api-key-here"
)

async function analyzeCodebase(files) {
  // Combine multiple files into a single prompt
  const combinedContent = files.map(file => 
    `// File: ${file.path}\n${file.content}\n\n`
  ).join('');

  const message = await anthropic.messages.create({
    model: "claude-sonnet-4-20250514",
    max_tokens: 4000,
    messages: [{
      role: "user",
      content: `Please analyze this entire codebase and provide:
1. Architecture overview
2. Potential improvements
3. Security considerations
4. Performance optimization opportunities

Here's the codebase:
${combinedContent}`
    }]
  });
  
  return message.content[0].text;
}

def process_large_documentation(doc_content):
    message = client.messages.create(
        model="claude-sonnet-4-20250514",
        max_tokens=4000,
        messages=[{
            "role": "user", 
            "content": f"""
Please create a comprehensive technical summary and implementation guide 
based on this extensive documentation:

{doc_content}
Focus on:
- Key implementation steps
- Code examples
- Best practices
- Common pitfalls to avoid
"""
        }]
    )
    
    return message.content[0].text

const multer = require('multer');
const fs = require('fs').promises;

const upload = multer({ dest: 'uploads/' });
app.post('/analyze-project', upload.array('files'), async (req, res) => {
  try {
    const files = [];

    for (const file of req.files) {
      const content = await fs.readFile(file.path, 'utf-8');
      files.push({
        path: file.originalname,
        content: content
      });
    }

    const analysis = await analyzeCodebase(files);

    res.json({ analysis });
  } catch (error) {
    res.status(500).json({ error: error.message });
  }
});

function estimateTokenCount(text) {
  // Rough estimation: 1 token ≈ 4 characters for English text
  // For code, it's often closer to 1 token ≈ 3 characters
  return Math.ceil(text.length / 3.5);
}

function estimateCost(inputTokens, outputTokens) {
  const inputCost = inputTokens > 200000 
    ? (inputTokens / 1000000) * 6 
    : (inputTokens / 1000000) * 3;
    
  const outputCost = outputTokens > 200000 
    ? (outputTokens / 1000000) * 22.50 
    : (outputTokens / 1000000) * 15;
    
  return inputCost + outputCost;
}

async function refactorProject(files, requirements) {
  const prompt = `
Refactor this entire project according to these requirements:
${requirements}

Current codebase:
${files.map(f => `// ${f.path}\n${f.content}`).join('\n\n')}
Please provide the refactored files with explanations.
`;
  
  // Process with Claude...
}

def generate_test_suite(codebase_files):
    combined_code = "\n\n".join([
        f"# File: {file['path']}\n{file['content']}" 
        for file in codebase_files
    ])
    
    prompt = f"""
Generate a comprehensive test suite for this entire codebase.
Include unit tests, integration tests, and edge cases.

Codebase:
{combined_code}
"""
    
    # Send to Claude API...