1┌─────────────────────────────────────────┐
2│ def calculate_average(numbers):         │ ← Code bạn viết
3│     return sum(numbers) / len(numbers)  │ ← Ghost Text (màu xám)
4└─────────────────────────────────────────┘

1def validate_email(email):
2    # Copilot suggests regex validation!

1# Check if a number is prime
2def is_prime(n):
3    # Copilot đã hiểu context từ comment

1def binary_search(arr, target):
2    """
3    Perform binary search on a sorted array.
4    
5    Args:
6        arr: Sorted list of elements
7        target: Element to find
8    
9    Returns:
10        Index of target if found, -1 otherwise
11    """
12    # Copilot generates perfect implementation!

1users = [
2    {"name": "Alice", "age": 30},
3    {"name": "Bob", "age": 25},
4    # Copilot sẽ suggest thêm users theo pattern!

1def f(x, y):
2    pass
3
4def proc(d):
5    pass

1def calculate_distance(point1, point2):
2    # Copilot hiểu cần calculate distance
3    
4def process_user_data(user_dict):
5    # Copilot hiểu đang xử lý user data

1import pandas as pd
2import matplotlib.pyplot as plt
3
4# Copilot biết bạn đang làm data analysis
5df = pd.read_csv('data.csv')
6# Suggestions sẽ liên quan đến pandas/matplotlib

1# Convert temperature from Celsius to Fahrenheit
2# Example: celsius_to_fahrenheit(0) -> 32
3# Example: celsius_to_fahrenheit(100) -> 212
4def celsius_to_fahrenheit(celsius):
5    # Copilot có examples để verify logic

1# Build a complete REST API with authentication

1# Step 1: Create Flask app
2# Step 2: Add user model
3# Step 3: Implement register endpoint
4# Step 4: Implement login endpoint
5# Step 5: Add JWT authentication

1# Sort a list of dictionaries by 'name' key
2users = [{"name": "Bob"}, {"name": "Alice"}, {"name": "Charlie"}]
3
4# Suggestion 1:
5sorted_users = sorted(users, key=lambda x: x['name'])
6
7# Suggestion 2:
8from operator import itemgetter
9sorted_users = sorted(users, key=itemgetter('name'))
10
11# Suggestion 3:
12users.sort(key=lambda x: x['name'])

1# Original code
2def greet(name):
3    return "Hello " + name
4
5# Select code → Ctrl+I → "Add type hints and docstring"
6
7# Result
8def greet(name: str) -> str:
9    """
10    Return a greeting message for the given name.
11    
12    Args:
13        name: The name to greet
14        
15    Returns:
16        A greeting string
17    """
18    return f"Hello {name}"

1"""
2Data Processor Module
3
4This module provides utilities for processing CSV data:
5- Load CSV file into list of dictionaries
6- Filter data by column value
7- Calculate statistics (mean, median, mode)
8- Export processed data to JSON
9"""
10
11import csv
12import json
13from statistics import mean, median, mode
14
15# TODO: Let Copilot implement these functions
16
17# Load CSV file and return list of dictionaries
18def load_csv(filepath):
19    pass
20
21# Filter data where column equals value
22def filter_by_column(data, column, value):
23    pass
24
25# Calculate statistics for a numeric column
26def calculate_stats(data, column):
27    pass
28
29# Export data to JSON file
30def export_to_json(data, filepath):
31    pass
32
33# Main function to demonstrate usage
34def main():
35    pass
36
37if __name__ == "__main__":
38    main()