AI Coders Make Mistakes Too: How to Spot Them

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-ai-coding-AI-is-not-perfect-coder

1. What is the core idea behind "AI Coders Make Mistakes Too: How to Spot Them"?

   1. Just like AI can give wrong answers, AI can write buggy code. Here is what to watch for.
   2. Stating what they expected vs what happened
   3. spec-driven prompting
   4. vibe coding

2. Which term best describes a foundational idea in "AI Coders Make Mistakes Too: How to Spot Them"?

   1. AI mistakes
   2. bugs
   3. code review
   4. testing

3. A learner studying AI Coders Make Mistakes Too: How to Spot Them would need to understand which concept?

   1. bugs
   2. code review
   3. AI mistakes
   4. testing

4. Which of these is directly relevant to AI Coders Make Mistakes Too: How to Spot Them?

   1. bugs
   2. AI mistakes
   3. testing
   4. code review

5. Which of the following is a key point about AI Coders Make Mistakes Too: How to Spot Them?

   1. AI might use a function that does not exist (made-up).
   2. AI might write code that runs but gives the wrong answer.
   3. AI might forget to handle a special case (like what if there are zero items in a list).
   4. AI might use an old way of writing code that does not work anymore.

6. Which of these does NOT belong in a discussion of AI Coders Make Mistakes Too: How to Spot Them?

   1. AI might use a function that does not exist (made-up).
   2. AI might forget to handle a special case (like what if there are zero items in a list).
   3. Stating what they expected vs what happened
   4. AI might write code that runs but gives the wrong answer.

7. What is the key insight about "The rule" in the context of AI Coders Make Mistakes Too: How to Spot Them?

   1. Stating what they expected vs what happened
   2. spec-driven prompting
   3. Always test code AI writes. Run it. Try weird inputs. If something does not look right, ask AI to fix it OR ask a grown-…
   4. vibe coding

8. Which statement accurately describes an aspect of AI Coders Make Mistakes Too: How to Spot Them?

   1. Stating what they expected vs what happened
   2. spec-driven prompting
   3. vibe coding
   4. AI is great at writing code that LOOKS right. But sometimes the code does not actually work. Or it works but does the wrong thing.

9. What does working with AI Coders Make Mistakes Too: How to Spot Them typically involve?

   1. Next time you (or a grown-up) tries AI-coded help, give it a hard test on purpose. Try giving it nothing, or a huge number, or a weird input.
   2. Stating what they expected vs what happened
   3. spec-driven prompting
   4. vibe coding

10. Which best describes the scope of "AI Coders Make Mistakes Too: How to Spot Them"?

    1. It is unrelated to ai-coding workflows
    2. It focuses on Just like AI can give wrong answers, AI can write buggy code. Here is what to watch for.
    3. It applies only to the opposite professional tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about AI Coders Make Mistakes Too: How to Spot Them?

    1. Stating what they expected vs what happened
    2. spec-driven prompting
    3. Some examples
    4. vibe coding

12. Which section heading best belongs in a lesson about AI Coders Make Mistakes Too: How to Spot Them?

    1. Stating what they expected vs what happened
    2. spec-driven prompting
    3. vibe coding
    4. Try it!

13. Which of the following is a concept covered in AI Coders Make Mistakes Too: How to Spot Them?

    1. bugs
    2. AI mistakes
    3. code review
    4. testing

14. Which of the following is a concept covered in AI Coders Make Mistakes Too: How to Spot Them?

    1. bugs
    2. AI mistakes
    3. code review
    4. testing

15. Which of the following is a concept covered in AI Coders Make Mistakes Too: How to Spot Them?

    1. bugs
    2. AI mistakes
    3. code review
    4. testing