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Code Generation

Leverage AI to write, debug, refactor, and optimize code across multiple programming languages with intelligent code completion and explanation capabilities.

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Overview

AI code generation helps developers:
  • Write code faster - Generate functions, classes, and entire applications
  • Debug efficiently - Find and fix bugs automatically
  • Learn new languages - Get examples and explanations
  • Optimize performance - Improve code efficiency and readability
  • Handle boilerplate - Automate repetitive coding tasks

Multi-Language Support

Python, JavaScript, Java, C++, Go, Rust, and 50+ languages

Code Explanation

Understand complex code with detailed explanations

Bug Detection

Identify and fix errors automatically

Code Optimization

Improve performance and readability

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Basic Code Generation

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Python Example

import requests

def generate_code(prompt, language="python", model="gpt-4o"):
    """Generate code based on natural language description"""
    
    headers = {
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    }
    
    data = {
        "model": model,
        "messages": [
            {"role": "system", "content": f"You are an expert {language} programmer."},
            {"role": "user", "content": prompt}
        ],
        "temperature": 0.7
    }
    
    response = requests.post(
        "https://api.anyapi.ai/v1/chat/completions",
        headers=headers,
        json=data
    )
    
    return response.json()["choices"][0]["message"]["content"]

# Example usage
generated_sql = generate_code(
    "Create a SQL query to find top 5 customers by total purchase amount",
    language="sql"
)
print(generated_sql)

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JavaScript Example

async function generateCode(prompt, language = 'javascript', model = 'gpt-4o') {
  const response = await fetch('https://api.anyapi.ai/v1/chat/completions', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: model,
      messages: [
        { role: 'system', content: `You are an expert ${language} programmer.` },
        { role: 'user', content: prompt }
      ],
      temperature: 0.7
    })
  });

  const data = await response.json();
  return data.choices[0].message.content;
}

// Example usage
const generatedCode = await generateCode(
  'Create a function to validate email addresses',
  'javascript'
);
console.log(generatedCode);

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Advanced Code Generation Patterns

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Code Completion and Suggestions

Use AI to complete partial code snippets and provide intelligent suggestions: 
class CodeAssistant:
    def __init__(self, api_key):
        self.api_key = api_key
    
    def complete_code(self, partial_code, language="python"):
        """Complete partial code with context"""
        
        prompt = f"Complete this {language} code:\n\n```{language}\n{partial_code}\n```"
        
        # API call to generate completion
        # Returns completed code
        pass

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Code Debugging

Automatically identify and fix bugs in your code: 
def debug_code(code, error_message, language="python"):
    """Debug code that's producing an error"""
    
    prompt = f"""
    Debug this {language} code that's producing an error:
    
    Error: {error_message}
    
    Code:
    ```{language}
    {code}
Provide the fixed code and explanation. """

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API call to debug

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Returns fixed code and explanation

pass 

## Best Practices

### 1. Clear Prompts
- Be specific about requirements
- Include input/output examples
- Specify coding standards

### 2. Language-Specific Context
- Mention the programming language
- Include framework/library versions
- Specify target environment

### 3. Iterative Refinement
- Start with basic implementation
- Refine with additional requirements
- Test and improve incrementally

## Model Recommendations

| Task | Recommended Model | Why |
|------|------------------|-----|
| Complex Algorithms | GPT-4o | Best reasoning capabilities |
| Quick Scripts | GPT-4o-mini | Fast and cost-effective |
| Code Reviews | Claude 3.5 Sonnet | Excellent analysis |
| Documentation | Claude 3.5 Sonnet | Clear explanations |

## Getting Started

<CardGroup cols={2}>
  <Card title="Quick Start" icon="rocket" href="/quickstart/setting-up">
    Start generating code with AI
  </Card>
  <Card title="API Reference" icon="book" href="/api-reference/text-models/overview">
    Explore text generation models
  </Card>
  <Card title="Use Cases" icon="lightbulb" href="/use-cases/create-assistant">
    See coding examples in action
  </Card>
  <Card title="Function Calling" icon="function" href="/capabilities/function-calling">
    Integrate with development tools
  </Card>
</CardGroup>
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