دليل سريع لـ Amazon CodeWhisperer

نظرة عامة

Amazon CodeWhisperer هي خدمة إكمال التعليمات البرمجية المدعومة بالذكاء الاصطناعي من AWS والتي توفر اقتراحات ذكية للتعليمات البرمجية في الوقت الفعلي. تقوم بتحليل التعليمات البرمجية والتعليقات الخاصة بك لإنشاء توصيات ذات صلة بالسياق، مع دعم لغات البرمجة المتعددة والتكامل مع بيئات التطوير المتكاملة الشائعة.

⚠️ ملاحظة: تمت إعادة تسمية CodeWhisperer باسم Amazon Q Developer. يغطي هذا الدليل السريع واجهة وأوامر CodeWhisperer القديمة.

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Install AWS Toolkit extension (includes CodeWhisperer)

code —install-extension AmazonWebServices.aws-toolkit-vscode

Or install standalone CodeWhisperer extension

code —install-extension AmazonWebServices.codewhisperer-for-command-line-companion

### JetBrains IDEs
```bash
# Install AWS Toolkit plugin
# File > Settings > Plugins > Marketplace
# Search "AWS Toolkit" and install

Command Line Integration

# Install CodeWhisperer CLI
npm install -g @amzn/codewhisperer-cli

# Or using pip
pip install codewhisperer-cli

Authentication

AWS Builder ID (Free)

# Sign up for AWS Builder ID
# Free tier with usage limits
# No AWS account required

# Authentication in IDE:
# 1. Click "Start" in CodeWhisperer panel
# 2. Choose "Use for free with AWS Builder ID"
# 3. Complete browser authentication

AWS IAM Credentials

# Configure AWS credentials
aws configure
# Enter Access Key ID
# Enter Secret Access Key
# Enter Default region
# Enter Default output format

# Or use environment variables
export AWS_ACCESS_KEY_ID=your_access_key
export AWS_SECRET_ACCESS_KEY=your_secret_key
export AWS_DEFAULT_REGION=us-east-1

AWS SSO Integration

# Configure SSO profile
aws configure sso
# Enter SSO start URL
# Enter SSO region
# Complete browser authentication

# Use SSO profile
aws sso login --profile your-profile

Core Features

Code Completion

# Automatic suggestions while typing
# Press Tab to accept suggestion
# Press Esc to dismiss suggestion
# Use arrow keys to navigate multiple suggestions

# Trigger manual suggestions
# Ctrl+Space (VS Code)
# Alt+C (JetBrains)

Comment-to-Code Generation

# Type descriptive comment
# Function to calculate compound interest
def calculate_compound_interest(principal, rate, time, compound_frequency):
    # CodeWhisperer generates the implementation
    amount = principal * (1 + rate/compound_frequency) ** (compound_frequency * time)
    return amount - principal

Multi-line Code Generation

// Generate entire functions from comments
// Create Express.js REST API endpoint for user management
app.post('/api/users', async (req, res) => {
    try {
        const { name, email, password } = req.body;
        const hashedPassword = await bcrypt.hash(password, 10);
        const user = new User({ name, email, password: hashedPassword });
        await user.save();
        res.status(201).json({ message: 'User created successfully', userId: user._id });
    } catch (error) {
        res.status(400).json({ error: error.message });
    }
});

Language Support

Supported Languages

# Fully supported languages:
- Python
- Java
- JavaScript
- TypeScript
- C#
- Go
- Rust
- PHP
- Ruby
- Kotlin
- C++
- Shell scripting (Bash)
- SQL
- Scala
- R
- Swift

Framework Integration

# Popular frameworks supported:
- React/Next.js
- Angular
- Vue.js
- Spring Boot
- Django/Flask
- Express.js
- .NET Core
- Laravel
- Rails

IDE Integration

VS Code Commands

# Command Palette commands:
"AWS: CodeWhisperer - Start"
"AWS: CodeWhisperer - Pause"
"AWS: CodeWhisperer - Resume"
"AWS: CodeWhisperer - Show Security Scan"
"AWS: CodeWhisperer - Open Settings"

# Keyboard shortcuts:
Alt+C           # Trigger suggestion
Tab             # Accept suggestion
Esc             # Dismiss suggestion
Ctrl+Right      # Accept word

JetBrains Commands

# Tools menu:
Tools > AWS > CodeWhisperer > Start
Tools > AWS > CodeWhisperer > Pause
Tools > AWS > CodeWhisperer > Settings

# Context menu:
Right-click > AWS CodeWhisperer > Accept Suggestion
Right-click > AWS CodeWhisperer > Reject Suggestion

Configuration Settings

// VS Code settings.json
{
    "aws.codeWhisperer.shareCodeWhispererContentWithAWS": false,
    "aws.codeWhisperer.includeSuggestionsWithCodeReferences": true,
    "aws.codeWhisperer.automaticTrigger": true,
    "aws.codeWhisperer.maxSuggestions": 5
}

Security Scanning

Vulnerability Detection

# Automatic security scanning
# Detects common vulnerabilities:
# - SQL injection
# - Cross-site scripting (XSS)
# - Hardcoded credentials
# - Insecure cryptographic practices
# - Path traversal vulnerabilities

Manual Security Scan

# VS Code:
# 1. Open Command Palette (Ctrl+Shift+P)
# 2. Type "CodeWhisperer Security Scan"
# 3. Select files to scan
# 4. Review results in Problems panel

# JetBrains:
# 1. Tools > AWS > CodeWhisperer > Security Scan
# 2. Select scope (file/project)
# 3. Review results in inspection panel

Security Scan Results

# High severity issues:
# - Critical security vulnerabilities
# - Immediate attention required
# - Detailed remediation steps provided

# Medium/Low severity:
# - Potential security concerns
# - Best practice recommendations
# - Code quality improvements

Command Line Usage

CLI Installation

# Install via npm
npm install -g @amzn/codewhisperer-cli

# Install via pip
pip install codewhisperer-cli

# Verify installation
codewhisperer --version

CLI Authentication

# Authenticate with AWS Builder ID
codewhisperer auth login

# Use AWS credentials
codewhisperer auth login --profile your-aws-profile

# Check authentication status
codewhisperer auth status

Code Generation via CLI

# Generate code from prompt
codewhisperer generate --prompt "Python function to sort dictionary by values"

# Generate with context file
codewhisperer generate --prompt "Add error handling" --context main.py

# Interactive mode
codewhisperer interactive

Best Practices

Effective Prompting

# Good: Specific and descriptive comments
# Function to validate email format using regex and return boolean
def validate_email(email):
    # CodeWhisperer generates accurate implementation

# Bad: Vague comments
# Email function
def email_func():
    # Less accurate suggestions

Code Review

# Always review generated code:
# 1. Check for logical correctness
# 2. Verify security implications
# 3. Ensure code style consistency
# 4. Test functionality thoroughly
# 5. Validate error handling

Security Considerations

# Review security scan results regularly
# Don't ignore vulnerability warnings
# Validate all input parameters
# Use secure coding practices
# Keep dependencies updated

Usage Limits & Pricing

Free Tier (AWS Builder ID)

# Monthly limits:
# - Code suggestions: Unlimited
# - Security scans: 50 per month
# - Supported languages: All
# - IDE integrations: All

Professional Tier

# Features (when available):
# - Higher usage limits
# - Priority support
# - Advanced security features
# - Team management
# - Usage analytics

Troubleshooting

Common Issues

# CodeWhisperer not working:
# 1. Check internet connection
# 2. Verify authentication status
# 3. Restart IDE
# 4. Update AWS Toolkit extension

# No suggestions appearing:
# 1. Check if CodeWhisperer is enabled
# 2. Verify file type is supported
# 3. Check automatic trigger settings
# 4. Try manual trigger (Alt+C)

Performance Issues

# Slow suggestions:
# 1. Close unnecessary files
# 2. Reduce project size
# 3. Check network connectivity
# 4. Update to latest extension version

# High CPU usage:
# 1. Adjust suggestion frequency
# 2. Disable automatic triggers
# 3. Use manual triggers only
# 4. Configure suggestion limits

Debug Information

# VS Code debug info:
# 1. View > Output
# 2. Select "AWS Toolkit" from dropdown
# 3. Check for error messages

# JetBrains debug info:
# 1. Help > Show Log in Explorer
# 2. Look for AWS-related log files
# 3. Check for error patterns

Code Examples

Python Data Processing

# Function to process CSV file and calculate statistics
import pandas as pd
import numpy as np

def process_sales_data(file_path):
    df = pd.read_csv(file_path)
    
    # Calculate key metrics
    total_sales = df['amount'].sum()
    avg_sale = df['amount'].mean()
    top_products = df.groupby('product')['amount'].sum().sort_values(ascending=False).head(5)
    
    return {
        'total_sales': total_sales,
        'average_sale': avg_sale,
        'top_products': top_products.to_dict()
    }

JavaScript API Integration

// Function to fetch user data with error handling and retry logic
async function fetchUserData(userId, maxRetries = 3) {
    for (let attempt = 1; attempt <= maxRetries; attempt++) {
        try {
            const response = await fetch(`/api/users/${userId}`);
            
            if (!response.ok) {
                throw new Error(`HTTP error! status: ${response.status}`);
            }
            
            const userData = await response.json();
            return userData;
            
        } catch (error) {
            console.error(`Attempt ${attempt} failed:`, error.message);
            
            if (attempt === maxRetries) {
                throw new Error(`Failed to fetch user data after ${maxRetries} attempts`);
            }
            
            // Wait before retry
            await new Promise(resolve => setTimeout(resolve, 1000 * attempt));
        }
    }
}

Java Spring Boot Controller

// REST controller for product management with validation
@RestController
@RequestMapping("/api/products")
@Validated
public class ProductController {
    
    @Autowired
    private ProductService productService;
    
    @PostMapping
    public ResponseEntity<Product> createProduct(@Valid @RequestBody ProductDTO productDTO) {
        try {
            Product product = productService.createProduct(productDTO);
            return ResponseEntity.status(HttpStatus.CREATED).body(product);
        } catch (ValidationException e) {
            return ResponseEntity.badRequest().build();
        } catch (Exception e) {
            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
        }
    }
}

Migration to Amazon Q

Transition Guide

# CodeWhisperer is now Amazon Q Developer
# Migration steps:
# 1. Update to latest AWS Toolkit
# 2. Existing settings are preserved
# 3. Authentication remains the same
# 4. Enhanced features available in Amazon Q

New Features in Amazon Q

# Additional capabilities:
# - Chat interface for code questions
# - Application modernization
# - Code explanations
# - Unit test generation
# - Enhanced security scanning

Resources

Documentation

• CodeWhisperer User Guide
• AWS Toolkit for VS Code
• AWS Toolkit for JetBrains

Community

• AWS Developer Forums
• GitHub Issues
• [Stack Overflow](https://stackoverflow.com/questions/tagged/amazon-codewhisperer##

التدريبhttps://workshops.aws/- [دليل البدء](https://aws.amazon.com/codewhisperer/getting-started/- [دليل البدء](https://docs.aws.amazon.com/codewhisperer/latest/userguide/best-practices.html- [وثائق أفضل الممارسات](

Note: I noticed that some of the text seems incomplete or cut off (like the AWS CodeWhisperer Workshop link), so I translated the visible text. If you have the full text, I can provide a more complete translation.