Using AI for code review and debugging in AI for Everyone - Mini Project: Build & Apply

Using AI for code review and debugging

📖 Scenario: You are a software developer working on a small project. You want to use AI tools to help review your code and find bugs before you share it with your team.

🎯 Goal: Build a simple step-by-step guide that shows how to prepare code for AI review, set up the review process, analyze AI feedback, and apply fixes to improve code quality.

📋 What You'll Learn

Create a sample code snippet to review

Set up a configuration for AI review criteria

Simulate AI feedback by identifying issues in the code

Apply fixes based on AI suggestions to improve the code

💡 Why This Matters

🌍 Real World

Developers often use AI tools to quickly find problems and improve code quality before sharing or deploying software.

💼 Career

Knowing how to use AI for code review helps programmers write better code faster and reduces errors in professional software projects.

1

DATA SETUP: Create a sample code snippet

Create a variable called code_snippet that holds this exact Python code as a string: def add_numbers(a, b):\n return a + b

AI for Everyone

# Create a variable called code_snippet with the given Python code as a string
# Your code here

Need a hint?

Use triple quotes or escaped newlines to store multi-line code as a string.

2

CONFIGURATION: Set AI review criteria

Create a variable called review_criteria as a list containing these exact strings: 'check_syntax', 'check_style', 'check_performance'

AI for Everyone

code_snippet = "def add_numbers(a, b):\n    return a + b"
# Create a list called review_criteria with the specified checks
# Your code here

Need a hint?

Use square brackets to create a list with the exact strings inside.

3

CORE LOGIC: Simulate AI feedback

Create a variable called ai_feedback as a dictionary with these exact entries: 'syntax': 'No errors found', 'style': 'Consider adding type hints', 'performance': 'Function is efficient'

AI for Everyone

code_snippet = "def add_numbers(a, b):\n    return a + b"
review_criteria = ['check_syntax', 'check_style', 'check_performance']
# Create a dictionary called ai_feedback with the specified entries
# Your code here

Need a hint?

Use curly braces to create a dictionary with the exact keys and values.

4

COMPLETION: Apply AI suggestions to improve code

Create a variable called improved_code that holds this exact Python code as a string with type hints added: def add_numbers(a: int, b: int) -> int:\n return a + b

AI for Everyone

code_snippet = "def add_numbers(a, b):\n    return a + b"
review_criteria = ['check_syntax', 'check_style', 'check_performance']
ai_feedback = {
    'syntax': 'No errors found',
    'style': 'Consider adding type hints',
    'performance': 'Function is efficient'
}
# Create improved_code with type hints added as a string
# Your code here

Need a hint?

Add type hints for parameters and return type exactly as shown.