Test Your Code With AI Help

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-testing-code

1. What is the main benefit of using AI to generate tests for your code?

   1. It makes your code run faster
   2. It catches bugs you never thought of
   3. It replaces the need to write code manually
   4. It automatically fixes bugs it finds

2. Why is testing described as what separates real coders from beginners?

   1. Beginners are not allowed to use AI tools
   2. Testing proves code works correctly and is reliable
   3. Beginners cannot write working code
   4. Real coders use more advanced programming languages

3. Which of the following is an example of using AI to help with testing?

   1. Asking AI to write 5 tests for a function you wrote
   2. Asking AI to convert your code to a different language
   3. Asking AI to rewrite your entire program
   4. Asking AI to design a new logo for your app

4. What are 'edge cases' in the context of testing code?

   1. The most common situations your code handles
   2. Unusual or extreme inputs that could cause problems
   3. Tests that always pass regardless of input
   4. The first tests you write for any function

5. After AI generates tests for your code, what should you do next?

   1. Delete your original code and trust the tests
   2. Ask AI to fix any failing tests automatically
   3. Run the tests to verify they pass
   4. Ignore the tests since AI created them

6. What is the purpose of a testing framework in a software project?

   1. To automatically deploy code to servers
   2. To create user interfaces for applications
   3. To write code faster without errors
   4. To organize, run, and manage tests consistently

7. How does testing improve code reliability?

   1. It reduces the amount of code you need to write
   2. It makes code run on more devices
   3. It allows you to skip writing documentation
   4. It verifies that code behaves correctly in various situations

8. Can AI completely replace human involvement in testing?

   1. No, humans must still review and validate AI-generated tests
   2. Yes, AI can handle all testing independently
   3. Yes, but only for simple programs
   4. No, testing is not useful at all

9. What is the difference between testing and debugging?

   1. Testing finds bugs; debugging fixes them
   2. Testing is optional; debugging is required
   3. They are the same thing
   4. Testing only works with AI; debugging does not

10. Why might a developer use the prompt 'What edge cases should I test for this code?'

    1. To find out what the code is supposed to do
    2. To learn the programming language syntax
    3. To get AI to write the entire program
    4. To discover unusual situations the code might mishandle

11. What does it mean if your tests pass but your code still has bugs?

    1. Testing does not work
    2. The tests are not comprehensive enough
    3. The bugs are not important
    4. You should stop testing

12. When should tests be updated?

    1. When you modify your code
    2. Never, once written they are complete
    3. Only when AI generates new tests
    4. Only when bugs are found

13. What is the primary purpose of writing tests for your code?

    1. To prove the code does what it is supposed to do
    2. To satisfy school assignment requirements
    3. To increase the file size of your project
    4. To make the code look more professional

14. A developer asks AI 'Are there any bugs my tests do not catch?' What are they trying to do?

    1. Write a new program from scratch
    2. Delete their existing tests
    3. Find gaps in their test coverage
    4. Learn a new programming language

15. Why should developers test their code with both normal and unusual inputs?

    1. AI requires unusual inputs to work
    2. Unusual inputs often reveal hidden bugs
    3. Tests always pass with unusual inputs
    4. Normal inputs are not important