Agents vs. Autocomplete — the Mental Model Shift

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-coding-agents-vs-autocomplete-creators

1. What is the core idea behind "Agents vs. Autocomplete — the Mental Model Shift"?

   1. Autocomplete is a suggestion. An agent is an actor. The mental model you bring to each is different, and conflating them is the number-one reason teams trip over AI coding.
   2. A streak counter that says 'You logged 5 days in a row!'
   3. It changes the speed from slow to fast.
   4. AI writes migration files so you can add a column without losing your existing d…

2. Which term best describes a foundational idea in "Agents vs. Autocomplete — the Mental Model Shift"?

   1. agent
   2. autocomplete
   3. autonomy
   4. human-in-the-loop

3. A learner studying Agents vs. Autocomplete — the Mental Model Shift would need to understand which concept?

   1. autocomplete
   2. autonomy
   3. agent
   4. human-in-the-loop

4. Which of these is directly relevant to Agents vs. Autocomplete — the Mental Model Shift?

   1. autocomplete
   2. agent
   3. human-in-the-loop
   4. autonomy

5. Which of the following is a key point about Agents vs. Autocomplete — the Mental Model Shift?

   1. L0 failures are small and local — one wrong suggestion, easy to dismiss
   2. L1 failures can silently edit a function in ways you miss
   3. L2 failures ripple across files — imports break, types drift
   4. L3 failures include confidently destructive commands (`rm -rf`, bad git operations)

6. Which of these does NOT belong in a discussion of Agents vs. Autocomplete — the Mental Model Shift?

   1. L0 failures are small and local — one wrong suggestion, easy to dismiss
   2. A streak counter that says 'You logged 5 days in a row!'
   3. L2 failures ripple across files — imports break, types drift
   4. L1 failures can silently edit a function in ways you miss

7. Which statement is accurate regarding Agents vs. Autocomplete — the Mental Model Shift?

   1. Greenfield feature: L2 scaffold, L1 refinement
   2. Tight bug fix: L1 is usually enough
   3. Unfamiliar code: start with L3 planning and L2 exploration
   4. Mechanical chore: L4 background agent if you trust your tests

8. Which of these does NOT belong in a discussion of Agents vs. Autocomplete — the Mental Model Shift?

   1. Tight bug fix: L1 is usually enough
   2. A streak counter that says 'You logged 5 days in a row!'
   3. Greenfield feature: L2 scaffold, L1 refinement
   4. Unfamiliar code: start with L3 planning and L2 exploration

9. What is the key insight about "Autonomy is a dial, not a switch" in the context of Agents vs. Autocomplete — the Mental Model Shift?

   1. Most real workflows span multiple levels. You might write one function with L0, let an agent refactor a file at L2, and …
   2. A streak counter that says 'You logged 5 days in a row!'
   3. It changes the speed from slow to fast.
   4. AI writes migration files so you can add a column without losing your existing d…

10. What is the key insight about "Guardrails scale with autonomy" in the context of Agents vs. Autocomplete — the Mental Model Shift?

    1. A streak counter that says 'You logged 5 days in a row!'
    2. At L0, a test suite is nice. At L3+, a test suite plus CI plus a staging environment is mandatory.
    3. It changes the speed from slow to fast.
    4. AI writes migration files so you can add a column without losing your existing d…

11. Which statement accurately describes an aspect of Agents vs. Autocomplete — the Mental Model Shift?

    1. A streak counter that says 'You logged 5 days in a row!'
    2. It changes the speed from slow to fast.
    3. Autocomplete suggests. Agents act. That single distinction changes everything about how you review, how you test, and how much can go wrong …
    4. AI writes migration files so you can add a column without losing your existing d…

12. What does working with Agents vs. Autocomplete — the Mental Model Shift typically involve?

    1. A streak counter that says 'You logged 5 days in a row!'
    2. It changes the speed from slow to fast.
    3. AI writes migration files so you can add a column without losing your existing d…
    4. Every step up the autonomy ladder reduces the time you spend writing and increases the time you spend reviewing.

13. Which of the following is true about Agents vs. Autocomplete — the Mental Model Shift?

    1. A healthy workflow moves up and down the autonomy dial within one task. Plan with the agent (L3). Generate scaffolding (L2).
    2. A streak counter that says 'You logged 5 days in a row!'
    3. It changes the speed from slow to fast.
    4. AI writes migration files so you can add a column without losing your existing d…

14. Which best describes the scope of "Agents vs. Autocomplete — the Mental Model Shift"?

    1. It is unrelated to ai-coding workflows
    2. It focuses on Autocomplete is a suggestion. An agent is an actor. The mental model you bring to each is different,
    3. It applies only to the opposite beginner tier
    4. It was deprecated in 2024 and no longer relevant

15. Which section heading best belongs in a lesson about Agents vs. Autocomplete — the Mental Model Shift?

    1. A streak counter that says 'You logged 5 days in a row!'
    2. It changes the speed from slow to fast.
    3. The spectrum of autonomy
    4. AI writes migration files so you can add a column without losing your existing d…