Using AI for code review and debugging in AI for Everyone - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

How AI assists in code review

Which of the following best describes how AI tools help in code review?

A AI identifies potential bugs and suggests improvements in code

B AI only checks spelling mistakes in code comments

C AI automatically writes new features without human input

D AI replaces developers by writing entire applications alone

💡 Hint

Think about what AI can analyze in code beyond simple text.

AI tools analyze code to find bugs, suggest fixes, and improve code quality, but they do not fully replace developers or only check comments.

📋 Factual

intermediate

Common limitations of AI in debugging

What is a common limitation of AI when used for debugging code?

A AI may miss context-specific bugs that require human judgment

B AI can perfectly understand the developer's intent every time

C AI never makes mistakes in suggesting fixes

D AI can debug hardware issues directly

💡 Hint

Consider situations where understanding the bigger picture is important.

AI may not fully grasp the specific context or intent behind code, so human judgment is still needed to catch some bugs.

🔍 Analysis

advanced

Evaluating AI suggestions in code debugging

You receive multiple AI suggestions for fixing a bug. What is the best approach to handle these suggestions?

A Accept all suggestions without review to save time

B Apply suggestions randomly to see which works

C Ignore AI suggestions and fix bugs manually only

D Manually review each suggestion and test changes before applying

💡 Hint

Think about the importance of quality and correctness in code changes.

AI suggestions should be carefully reviewed and tested by developers to ensure they fix the bug without causing new issues.

❓ Comparison

advanced

AI debugging vs traditional debugging

Which statement correctly compares AI-assisted debugging with traditional debugging?

A Traditional debugging uses machine learning to find bugs

B AI debugging can quickly identify patterns but still needs human insight

C AI debugging completely removes the need for human developers

D Traditional debugging is faster because it uses AI tools

💡 Hint

Consider the strengths and limits of AI compared to human skills.

AI can speed up finding common bug patterns but human developers provide essential understanding and decision-making.

❓ Reasoning

expert

Choosing when to rely on AI for debugging

In which scenario is relying on AI for debugging most appropriate?

A When debugging complex logic that requires understanding business rules

B When deciding on architectural design changes

C When quickly identifying common syntax errors in large codebases

D When interpreting vague user requirements

💡 Hint

Think about tasks AI excels at versus those needing human reasoning.

AI is very effective at spotting common, straightforward errors like syntax mistakes quickly, but complex logic and design decisions need humans.

Practice

1. What is one main benefit of using AI for code review and debugging?

easy

A. It helps find errors faster and suggests fixes.

B. It writes all code automatically without human input.

C. It replaces the need to learn programming.

D. It guarantees code will never have bugs.

Solution

1. Step 1: Understand AI's role in code review

   AI tools analyze code to spot mistakes and suggest improvements quickly.

2. Step 2: Compare options

   Only It helps find errors faster and suggests fixes. correctly states AI helps find errors faster and suggests fixes, while others exaggerate or misstate AI's capabilities.

3. Final Answer:

   It helps find errors faster and suggests fixes. -> Option A

4. Quick Check:

   AI aids debugging = Faster error detection [OK]

Hint: AI speeds up error finding and suggests fixes [OK]

Common Mistakes:

• Thinking AI writes all code alone
• Believing AI removes need to learn coding
• Assuming AI makes code perfect always

2. Which of the following is a correct way to ask AI for help in debugging code?

easy

A. Ignore the error and run the code again

B. Write a poem about debugging

C. Explain why this code throws an error: print(5/0)

D. Delete all code and start over

Solution

1. Step 1: Identify valid AI debugging requests

   Asking AI to explain a specific error in code is a proper debugging question.

2. Step 2: Evaluate options

   Explain why this code throws an error: print(5/0) asks for explanation of an error, which AI can help with. Others are unrelated or poor practices.

3. Final Answer:

   Explain why this code throws an error: print(5/0) -> Option C

4. Quick Check:

   Ask AI about error causes = Correct debugging help [OK]

Hint: Ask AI specific error questions for debugging help [OK]

Common Mistakes:

• Asking unrelated questions
• Ignoring errors instead of understanding them
• Deleting code without analysis

3. Given this code snippet:

def add_numbers(a, b):
    return a + b

result = add_numbers(2, '3')
print(result)

What will AI most likely identify as the problem?

medium

A. Syntax error in function definition

B. Type error due to adding integer and string

C. Missing return statement

D. Variable 'result' is undefined

Solution

1. Step 1: Analyze the code behavior

   The function tries to add 2 (integer) and '3' (string), which causes a type error in Python.

2. Step 2: Match problem to options

   Type error due to adding integer and string correctly identifies the type error. Other options are incorrect because the function syntax is valid, return exists, and 'result' is defined.

3. Final Answer:

   Type error due to adding integer and string -> Option B

4. Quick Check:

   Integer + string = TypeError [OK]

Hint: Check data types when adding values [OK]

Common Mistakes:

• Confusing syntax error with type error
• Overlooking data type mismatch
• Assuming variables are undefined

4. You asked AI to review this code:

for i in range(5)
    print(i)

AI points out an error. What is the likely fix?

medium

A. Change 'range(5)' to 'range 5'

B. Indent the for loop line

C. Remove the print statement

D. Add a colon ':' after the for loop declaration

Solution

1. Step 1: Identify syntax error in code

   The for loop is missing a colon ':' at the end of the declaration line, which is required in Python.

2. Step 2: Determine correct fix

   Adding the colon fixes the syntax error. Changing range syntax or removing print is incorrect. Indenting the loop line is already correct.

3. Final Answer:

   Add a colon ':' after the for loop declaration -> Option D

4. Quick Check:

   Python for loops need ':' [OK]

Hint: Look for missing colons in Python loops [OK]

Common Mistakes:

• Removing needed statements
• Misunderstanding Python syntax
• Incorrectly changing function calls

5. You want AI to help improve this code that filters out empty strings from a list:

items = ["apple", "", "banana", "", "cherry"]
filtered = {len(item) for item in items if item}

What is the best AI suggestion to fix the code for correct output?

hard

A. Change curly braces {} to square brackets [] to create a list instead of a set

B. Remove the if condition to include all items

C. Add a print statement inside the comprehension

D. Replace len(item) with item.upper()

Solution

1. Step 1: Understand the code's intention

   The code aims to filter out empty strings and get lengths of remaining items. Using curly braces creates a set, but the goal is likely a list of lengths.

2. Step 2: Identify correct fix

   Changing {} to [] creates a list comprehension, producing a list of lengths for non-empty strings. Other options change logic or add invalid syntax.

3. Final Answer:

   Change curly braces {} to square brackets [] to create a list instead of a set -> Option A

4. Quick Check:

   Use [] for list comprehension, {} for set [OK]

Hint: Use [] for lists, {} for dictionaries in comprehensions [OK]

Common Mistakes:

• Confusing list and set comprehensions
• Removing filters that exclude empty strings
• Adding statements inside comprehensions