Do Not Guess At Performance

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-coder-performance-profile-creators

1. What is the main idea of "Do Not Guess At Performance"?

   1. When an app feels slow, measure render time, network time, query time, and bundle size before asking the agent to optimize.
   2. Use AI as the final authority for the whole decision
   3. Avoid checking the answer once it sounds polished
   4. Focus only on speed instead of judgment

2. Which concept is most central to "Do Not Guess At Performance"?

   1. profiling
   2. performance
   3. network
   4. query

3. Which use of AI fits this topic best?

   1. Let the AI decide what matters without your review
   2. Use the answer before checking whether it fits the situation
   3. Name the job before naming the tool.
   4. Treat the AI output as automatically correct

4. What should a careful learner remember about "Community signal"?

   1. Agent-generated optimizations often chase the wrong bottleneck. Profiling output gives the model a target instead of a vibe.
   2. Skip the context so the tool can guess faster
   3. Treat the output as private even after sharing it online
   4. Use the answer without checking the source

5. You want to use AI after this lesson. What is the safest next step?

   1. Act immediately because the AI answer is written clearly
   2. Use AI for drafting and comparison, but verify before publishing or relying on it.
   3. Hide uncertainty so the final answer looks cleaner
   4. Use private or sensitive details before checking permission

6. How should AI output about performance be treated?

   1. As proof that no other source is needed
   2. As a replacement for context, consent, or expert review
   3. As a draft or helper output that still needs human judgment and verification
   4. As something that becomes correct when it sounds confident

7. Name one way to verify an AI answer about performance.

8. Which action would help you apply "Do Not Guess At Performance" responsibly?

   1. Use the tool to avoid thinking through the tradeoff
   2. Keep going even if the output conflicts with a trusted source
   3. Treat the AI output as automatically correct
   4. Write the smallest useful scope the agent can finish.