Pull Requests 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-pull-requests

1. What is the main purpose of a pull request in a collaborative coding project?

   1. To test if the code compiles without errors
   2. To automatically merge code changes into the main branch
   3. To share code changes with teammates for review before adding them to the project
   4. To delete outdated code from the repository

2. How can AI specifically help when writing a pull request description?

   1. AI can automatically approve the pull request for you
   2. AI can write the actual code changes for you
   3. AI can merge the pull request into the main branch
   4. AI can generate a clear description explaining what changed and why it matters

3. A teammate who doesn't write code asks you to explain what your pull request does. Why might you use AI to help with this?

   1. AI can write the teammate's portion of the code for them
   2. AI can translate technical code differences into simple, human-friendly language
   3. AI can automatically add comments to every line of code
   4. AI can create a video demonstration of the changes

4. A reviewer leaves feedback on your pull request asking why you chose a particular approach. What AI task would help you respond?

   1. Asking AI to re-write the reviewer's comments
   2. Asking AI to help you explain your reasoning in a clear way
   3. Asking AI to delete the pull request automatically
   4. Asking AI to approve the changes immediately

5. What is one reason good pull requests tend to get merged faster?

   1. They are automatically prioritized by the version control system
   2. They contain fewer lines of code
   3. They are submitted at certain times of day
   4. They include clear descriptions that help reviewers understand the changes quickly

6. What does the term 'diff' refer to when preparing a pull request?

   1. The difference between the old and new versions of code
   2. A type of programming language
   3. A computer program for comparing files
   4. A tool for running tests automatically

7. Why might AI be especially valuable for pull requests on team projects?

   1. AI can do the entire coding project alone
   2. AI helps team members communicate clearly despite different experience levels
   3. AI guarantees the code will have no bugs
   4. AI removes the need for any human review

8. You paste your code diff into an AI tool and ask 'What questions might reviewers ask about this code?' What are you using AI to do?

   1. Anticipating potential concerns and preparing responses
   2. Automatically rejecting your own pull request
   3. Writing the review comments for the reviewer
   4. Compiling the code into a working program

9. What information would be most helpful to include when asking AI to help write a pull request description?

   1. Only the final output you want
   2. Your team's meeting schedule
   3. A list of your favorite programming languages
   4. The code diff showing what changed

10. A pull request has a confusing description that doesn't explain why the changes were made. What problem might this create?

    1. The code will automatically break
    2. Reviewers may reject it without explanation
    3. The code will run faster
    4. Reviewers may have questions or the review may take longer

11. When you ask AI to explain your code change 'in plain language for non-coders,' who is the intended audience for that explanation?

    1. The AI tool itself
    2. Only senior developers
    3. Team members who don't write code, like designers or product managers
    4. Only the project manager

12. In a pull request review, what is a 'reviewer' most likely doing?

    1. Writing new code for the project
    2. Checking and commenting on someone else's proposed changes
    3. Deleting the repository
    4. Approving the merge without looking

13. Why is it useful to describe the 'why' behind a code change in a pull request, not just the 'what'?

    1. Because AI cannot read code without it
    2. Because it makes the code run faster
    3. Because the version control system requires it
    4. Because it helps reviewers understand the reasoning and context

14. If you receive feedback on your pull request that says 'This approach is confusing,' what could you use AI to help with?

    1. Writing code that hides the confusing part
    2. Ignoring the feedback and merging anyway
    3. Finding a different way to explain your approach that is clearer
    4. Deleting the entire pull request

15. What does it mean for a pull request to be 'well-documented'?

    1. It has clear descriptions and explanations that help reviewers understand the changes
    2. It contains more comments than code
    3. It includes a long list of every file changed
    4. It was written by an AI rather than a human