Closing Out Stale Feature Flags with an LLM Sweep

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-coding-LLM-feature-flag-cleanup-creators

1. What is the core idea behind "Closing Out Stale Feature Flags with an LLM Sweep"?

   1. Using an LLM to find feature flags that are 100% on, 100% off, or unused — and to draft the cleanup PRs.
   2. Inputs: types, shapes, and example values
   3. Invent a sound architecture from a vague one-liner.
   4. generics

2. Which term best describes a foundational idea in "Closing Out Stale Feature Flags with an LLM Sweep"?

   1. tech-debt
   2. feature-flags
   3. code-cleanup
   4. flag-lifecycle

3. A learner studying Closing Out Stale Feature Flags with an LLM Sweep would need to understand which concept?

   1. feature-flags
   2. code-cleanup
   3. tech-debt
   4. flag-lifecycle

4. Which of these is directly relevant to Closing Out Stale Feature Flags with an LLM Sweep?

   1. feature-flags
   2. tech-debt
   3. flag-lifecycle
   4. code-cleanup

5. Which of the following is a key point about Closing Out Stale Feature Flags with an LLM Sweep?

   1. Identify flags fully ramped or fully off for >30 days
   2. Draft a PR removing the dead branch and the flag definition
   3. Spot flags whose name no longer matches the gated behavior
   4. Flag flags that gate untested code paths

6. Which of these does NOT belong in a discussion of Closing Out Stale Feature Flags with an LLM Sweep?

   1. Identify flags fully ramped or fully off for >30 days
   2. Spot flags whose name no longer matches the gated behavior
   3. Inputs: types, shapes, and example values
   4. Draft a PR removing the dead branch and the flag definition

7. Which statement is accurate regarding Closing Out Stale Feature Flags with an LLM Sweep?

   1. Tell which flags belong to which team without ownership data
   2. Decide which flags are still safety-critical kill switches
   3. Know whether a flag is being held open intentionally for rollback
   4. Inputs: types, shapes, and example values

8. What is the key insight about "Flag sweep prompt" in the context of Closing Out Stale Feature Flags with an LLM Sweep?

   1. Inputs: types, shapes, and example values
   2. Invent a sound architecture from a vague one-liner.
   3. generics
   4. Provide flag definitions, last 30 days of telemetry, and code references.

9. What is the key insight about "Kill switches must survive cleanup" in the context of Closing Out Stale Feature Flags with an LLM Sweep?

   1. Maintain a tagged list of intentional kill switches the LLM is told never to remove.
   2. Inputs: types, shapes, and example values
   3. Invent a sound architecture from a vague one-liner.
   4. generics

10. Which statement accurately describes an aspect of Closing Out Stale Feature Flags with an LLM Sweep?

    1. Inputs: types, shapes, and example values
    2. Feature flags accumulate silently; an LLM with flag telemetry plus the codebase can draft the cleanup PRs nobody has time to write.
    3. Invent a sound architecture from a vague one-liner.
    4. generics

11. Which best describes the scope of "Closing Out Stale Feature Flags with an LLM Sweep"?

    1. It is unrelated to ai-coding workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on Using an LLM to find feature flags that are 100% on, 100% off, or unused — and to draft the cleanup
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about Closing Out Stale Feature Flags with an LLM Sweep?

    1. Inputs: types, shapes, and example values
    2. Invent a sound architecture from a vague one-liner.
    3. generics
    4. What AI does well here

13. Which section heading best belongs in a lesson about Closing Out Stale Feature Flags with an LLM Sweep?

    1. What AI cannot do
    2. Inputs: types, shapes, and example values
    3. Invent a sound architecture from a vague one-liner.
    4. generics

14. Which of the following is a concept covered in Closing Out Stale Feature Flags with an LLM Sweep?

    1. tech-debt
    2. feature-flags
    3. code-cleanup
    4. flag-lifecycle

15. Which of the following is a concept covered in Closing Out Stale Feature Flags with an LLM Sweep?

    1. feature-flags
    2. code-cleanup
    3. tech-debt
    4. flag-lifecycle