Test Coverage Strategy With AI: Beyond 100% Line Coverage

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-coding-test-coverage-strategy-creators

1. Why is 100% line coverage often considered a vanity metric?

   1. It cannot be achieved by any team
   2. Optimizing for it distorts effort toward easy lines and away from hard cases
   3. It always slows down CI
   4. It requires a paid tool

2. Which is a behavior-coverage target worth managing toward?

   1. Lines executed per file
   2. Known failure modes from production
   3. Words in the test names
   4. File alphabetical order

3. Which edge case category is AI especially good at proposing?

   1. Null, undefined, empty, boundary, concurrent
   2. Cosmetic typography
   3. Legal disclaimers
   4. CSS overflow

4. Which kind of test does AI suggest at component boundaries?

   1. Integration tests
   2. Performance benchmarks only
   3. Visual regression on icons
   4. Smoke tests for legal copy

5. What does mutation testing help find?

   1. Tests that exist but do not actually exercise the behavior
   2. Memory leaks in the linker
   3. Slow compile times
   4. Outdated comments

6. Which input most sharpens an AI's coverage suggestions?

   1. A pasted list of recent production failures
   2. The team's preferred font
   3. The CEO's mood
   4. The current Wi-Fi name

7. Which is something AI cannot substitute for?

   1. Domain knowledge of likely failure modes
   2. Generating null and empty test cases
   3. Listing typical concurrency edge cases
   4. Drafting test names

8. Which security-relevant behavior can AI generate test cases for?

   1. Auth, input validation, output encoding
   2. Marketing copy A/B tests
   3. Logo color contrast
   4. Office seating charts

9. What is the right priority order when adding tests with AI's help?

   1. Easy lines first to boost coverage percent
   2. High-impact gaps tied to known production failures
   3. Whichever module has the longest filename
   4. Whichever file was edited most recently

10. Why won't AI catch every test gap?

    1. Some failure modes only appear in production usage
    2. AI is forbidden from writing assertions
    3. AI can only see the project README
    4. AI deletes tests it cannot run

11. Which artifact best feeds an AI gap-analysis prompt?

    1. A pasted set of existing tests plus production failures
    2. Only the file names
    3. Only the package version
    4. An empty prompt

12. What's the danger of treating coverage % as the goal?

    1. You may write thin tests that hit lines without checking behavior
    2. The percent will always be wrong
    3. CI tools refuse to run
    4. Builds become deterministic

13. Which is a healthier replacement for line coverage as a target?

    1. Number of files in the repo
    2. Behavior coverage and known-failure-mode coverage
    3. Number of TODO comments
    4. Average commit length

14. Which prompt structure helps AI produce a useful coverage strategy?

    1. Audit module X. Tests: [paste]. Production failures: [paste]. Output gaps and priorities.
    2. Make tests good
    3. Add coverage now
    4. Be smart about tests

15. What is the value of pairing AI suggestions with engineer review?

    1. Engineers contribute domain knowledge AI lacks
    2. It doubles the cost without value
    3. It replaces the need for tests at all
    4. It removes any need for production monitoring