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.