Generating Useful Docs From Code With AI

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-coding-doc-from-code-r12a1-creators

1. Which type of generated documentation would be most useful for a developer trying to understand how to use a function?

   1. A summary that explains what the function does, when to call it, and a working code example
   2. A list of all variables used inside the function
   3. The exact line of code where the function is defined
   4. A list of all parameter names and their types

2. You want AI to document a function thoroughly. Which five components should you explicitly request?

   1. One-line purpose, when to use it, when NOT to use it, one runnable example, and one common mistake
   2. Input format, output format, error messages, warnings, and license information
   3. Function complexity, number of lines, variable names, dependencies, and author
   4. Parameter names, return type, memory usage, execution time, and file location

3. A teammate asks you to document an API endpoint. What should you provide to AI to get the best README sections?

   1. A brief description of what the code does
   2. The entire codebase compressed into one file
   3. Just the function signature and parameter names
   4. A working example of the code in action with sample input and output

4. What is a fundamental limitation of AI when generating documentation?

   1. AI cannot write in complete sentences
   2. AI cannot read code files larger than 100 lines
   3. AI cannot generate text longer than one paragraph
   4. AI cannot know trade-offs or team priorities that were never written down anywhere

5. Before publishing AI-generated code examples in documentation, what should you always do?

   1. Show them to your manager for approval
   2. Translate them into a different programming language
   3. Copy each example into a file and run it to verify it works
   4. Ask another AI to review them for accuracy

6. Why might AI-generated documentation include misleading examples?

   1. AI always copies examples from official documentation
   2. AI intentionally tries to deceive users
   3. AI can access your local machine to test examples
   4. AI has no way to execute code and verify its output is correct

7. Which statement about AI-generated documentation is true?

   1. AI can document design trade-offs that were discussed in meetings but never written down
   2. AI can draft README sections when given a working example to analyze
   3. AI will always generate documentation that matches your team's coding style
   4. AI can automatically know which use cases your team considers most important

8. What does it mean that generated docs often 'restate signatures'?

   1. The documentation includes handwritten notes from the developer
   2. The documentation is automatically signed by the AI
   3. The documentation explains the author's personal signature on documents
   4. The documentation only repeats what parameter names and types already show

9. When documenting 'when NOT to use' a function, what are you helping developers avoid?

   1. Syntax errors in their own code
   2. Common misuse cases or inappropriate scenarios where the function will fail or cause problems
   3. Typing mistakes in function names
   4. Memory leaks in other functions

10. A developer reads documentation that says 'Function: calculateTotal, Input: array, Output: number.' Why is this not useful?

    1. The documentation contains spelling errors
    2. The documentation was written by an AI
    3. The documentation only restates what the code signature already shows without explaining purpose or usage
    4. The documentation is too long

11. What makes an AI-generated code example 'plausible-looking but non-runnable'?

    1. The example looks correct syntactically but contains logical errors or uses undefined variables
    2. The example was copied from a different project
    3. The example is too simple to be useful
    4. The example uses a programming language the reader doesn't know

12. To generate a useful usage snippet with AI, what two things should you provide about the function?

    1. The function's author and creation date
    2. The function itself and a sample input to test with
    3. The function's file path and line number
    4. The function's memory usage and CPU time

13. Why should documentation include a 'common mistake' section for functions?

    1. To help developers avoid frequent errors or misunderstandings when using the function
    2. To make the documentation longer
    3. To fill space in the README
    4. To show that the documentation writer made mistakes

14. What distinguishes 'intent' from 'signature' in documentation?

    1. Intent is for functions, signature is for classes
    2. Intent is handwritten, signature is typed
    3. Intent explains why code does what it does; signature is just the parameter list
    4. Intent and signature mean the same thing

15. What happens if you ask AI to document trade-offs in your code without providing any background?

    1. AI will refuse to answer
    2. AI will ask you follow-up questions until you provide the information
    3. AI will accurately guess all the trade-offs you made
    4. AI might invent plausible-sounding trade-offs that don't actually reflect your design decisions