Use AI to Review Your Own Code

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-ai-coding-AI-and-code-review-teen

1. What is code review in software development?

   1. Running code to see if it produces output
   2. When someone else reads your code and provides feedback to catch issues and suggest improvements
   3. Deleting code that no longer works
   4. Counting the number of lines in a program

2. What advantage does AI code review offer that human code review doesn't always provide?

   1. AI code review catches more bugs than any human reviewer
   2. AI is always available, never busy, never tired, and gives feedback without social judgment
   3. AI review is required before code can be deployed
   4. AI generates a grade or score for your code

3. Which of these is the BEST way to ask AI for code review?

   1. 'Is this code good?'
   2. 'Review my code for any bugs or issues [paste code].'
   3. 'Rate my code from 1 to 10.'
   4. 'What do you think of my code style?'

4. The rule is 'use AI code review on every meaningful piece of code you write.' Why?

   1. Because AI requires it before allowing you to run code
   2. Because regular review builds the habit of quality thinking — and each review teaches you patterns to apply in your next code
   3. Because code that isn't reviewed won't compile
   4. Because AI's review results are needed for school submissions

5. What does asking AI to review code 'as a security researcher' change about the feedback?

   1. Nothing — AI reviews code the same way regardless of framing
   2. AI focuses specifically on vulnerabilities, attack vectors, and security risks — rather than general style suggestions
   3. AI will refuse to review the code without proper credentials
   4. AI will use more technical security terminology

6. What is an 'edge case' in the context of code review?

   1. A rare, extreme, or unusual input that might cause the code to fail or behave unexpectedly
   2. Code written at the edges of a file
   3. A function that's only used once
   4. A variable name that contains a special character

7. Why should you NOT blindly accept every AI code review suggestion?

   1. Because AI is always wrong about code quality
   2. Because AI sometimes suggests patterns better suited for large codebases that add unnecessary complexity to small projects
   3. Because accepting suggestions makes you dependent on AI
   4. Because AI's suggestions cost credits

8. What is the 'portfolio-ready review framing' technique?

   1. Asking AI to format code for a resume PDF
   2. Asking AI to review code as if it's a technical interviewer looking for both impressive aspects and concerns
   3. Reviewing code before adding it to GitHub
   4. Having AI write a summary of what the code does for a portfolio page

9. You ask AI 'What would a senior developer say about this code?' What kind of feedback will this produce?

   1. Feedback about whether senior developers would like working with you
   2. Architectural, quality, and maintainability feedback from an experienced perspective — not just surface-level fixes
   3. Comments about the code's historical development
   4. Suggestions for which programming language to use instead

10. What does 'AI code review = free, always available, no judgment' mean for students?

    1. AI will never give critical feedback
    2. Students can get honest code feedback without the social anxiety of asking a teacher, peer, or employer
    3. AI is biased toward giving positive reviews
    4. Free means it doesn't take any time

11. In professional software teams, why is code review mandatory before code ships?

    1. It's a legal requirement in most countries
    2. Because the original author is too close to their own work to catch all bugs — a second perspective reliably improves quality
    3. Because senior engineers enjoy reviewing code
    4. Because code can't be deployed without a review signature

12. What is a 'security vulnerability' in code, and why is it important to find during review?

    1. A section of code that runs slowly — performance is the security issue
    2. A weakness in code that could allow malicious users to steal data, crash systems, or gain unauthorized access
    3. Any line that uses an external library
    4. Code that handles sensitive variable names

13. AI suggests using a complex design pattern for your 50-line program. Should you implement it?

    1. Yes — AI always suggests the most appropriate patterns
    2. Evaluate whether the pattern's complexity is justified for your project size — for 50 lines, simpler is almost always better
    3. Yes — design patterns always improve code regardless of size
    4. No — never use design patterns suggested by AI

14. What distinguishes a student who uses AI code review effectively from one who just submits AI-reviewed code?

    1. Frequency of use — effective users ask for review more often
    2. The effective student understands WHY each suggestion improves the code and applies that understanding to future code
    3. The effective student accepts all suggestions; the other rejects all of them
    4. There is no difference — the outcome is the same

15. A student regularly asks AI to review their code before submitting projects. Over time, AI makes fewer and fewer suggestions. What does this indicate?

    1. AI is getting lazy
    2. The student is internalizing review feedback and writing higher-quality code from the start
    3. The projects are getting too simple for meaningful review
    4. AI has run out of suggestions to give