Code Generation AI Tools

// Copilot can generate complete functions from comments
// Example: Create a function to validate email addresses
function validateEmail(email) {
    const regex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
    return regex.test(email);
}

// It can also generate complex algorithms
// Example: Implement quick sort algorithm
function quickSort(arr) {
    if (arr.length <= 1) return arr;
    
    const pivot = arr[Math.floor(arr.length / 2)];
    const left = arr.filter(x => x < pivot);
    const middle = arr.filter(x => x === pivot);
    const right = arr.filter(x => x > pivot);
    
    return [...quickSort(left), ...middle, ...quickSort(right)];
}

// settings.json for optimal Copilot experience
{
    "github.copilot.enable": {
        "*": true,
        "yaml": false,
        "plaintext": false,
        "markdown": true
    },
    "github.copilot.editor.enableAutoCompletions": true,
    "github.copilot.inlineSuggest.enable": true,
    "github.copilot.suggestions.quality": "high"
}

// CodeWhisperer excels at AWS service integration
// Example: Create an S3 bucket using AWS SDK
import { S3Client, CreateBucketCommand } from "@aws-sdk/client-s3";

const s3Client = new S3Client({ region: "us-east-1" });

async function createBucket(bucketName) {
    try {
        const command = new CreateBucketCommand({
            Bucket: bucketName,
        });
        const response = await s3Client.send(command);
        console.log("Bucket created successfully:", response);
        return response;
    } catch (error) {
        console.error("Error creating bucket:", error);
        throw error;
    }
}

// Example: Lambda function with API Gateway
exports.handler = async (event) => {
    const { name } = JSON.parse(event.body);
    
    return {
        statusCode: 200,
        headers: {
            "Content-Type": "application/json",
        },
        body: JSON.stringify({
            message: `Hello, ${name}!`,
        }),
    };
};

# Tabnine local model configuration
# docker-compose.yml for self-hosted deployment
version: '3.8'
services:
  tabnine:
    image: tabnine/tabnine-local:latest
    ports:
      - "5555:5555"
    environment:
      - MODEL_SIZE=large
      - CACHE_SIZE=10GB
    volumes:
      - ./models:/models
      - ./cache:/cache

# Client configuration
{
    "tabnine.experimentalAutoConfig": true,
    "tabnine.cloudHost": "http://localhost:5555",
    "tabnine.obfuscate": false
}

{% raw %}# GitHub Actions workflow for AI code review
name: AI Code Review
on: [pull_request]

jobs:
  code-review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: AI Code Analysis
        uses: copilot-code-reviewer@v1
        with:
          openai-key: ${{ secrets.OPENAI_KEY }}
          severity-threshold: medium
      - name: Security Scan
        uses: aws-actions/codewhisperer-security-scan@v1{% endraw %}

// Custom integration with OpenAI for code generation
const OpenAI = require('openai');
const openai = new OpenAI(process.env.OPENAI_API_KEY);

async function generateCode(prompt, language = 'javascript') {
    const systemPrompt = `You are an expert ${language} developer. 
    Generate clean, efficient, and well-commented code. 
    Follow best practices and include error handling.`;
    
    const completion = await openai.chat.completions.create({
        model: "gpt-4",
        messages: [
            { role: "system", content: systemPrompt },
            { role: "user", content: prompt }
        ],
        temperature: 0.3,
        max_tokens: 1000
    });
    
    return completion.choices[0].message.content;
}

// Example usage
const functionCode = await generateCode(
    "Create a React component for a user profile card with avatar, name, and bio",
    "javascript"
);

// Performance monitoring for AI code generation
class CodeGenerationMonitor {
    constructor() {
        this.metrics = {
            acceptanceRate: 0,
            timeSaved: 0,
            bugPrevention: 0
        };
    }
    
    trackSuggestion(accepted, timeSaved, complexity) {
        this.metrics.acceptanceRate = 
            (this.metrics.acceptanceRate + (accepted ? 1 : 0)) / 2;
        this.metrics.timeSaved += timeSaved;
        
        if (complexity > 5) {
            this.metrics.bugPrevention++;
        }
    }
    
    getEfficiencyGain() {
        return (this.metrics.timeSaved / 3600).toFixed(2) + ' hours';
    }
}