AI coding: turning a design spec into a component

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-coding-frontend-component-from-design-r7a1-creators

1. What is the core idea behind "AI coding: turning a design spec into a component"?

   1. Describe states, props, and interaction model — not visual styling — and AI produces components that fit your system instead of fighting it.
   2. Request a font pairing: AI knows which Google Fonts look good together
   3. AI splits one big diff into multiple atomic commits.
   4. mobile

2. Which term best describes a foundational idea in "AI coding: turning a design spec into a component"?

   1. props/state model
   2. component design
   3. interaction spec
   4. Request a font pairing: AI knows which Google Fonts look good together

3. A learner studying AI coding: turning a design spec into a component would need to understand which concept?

   1. component design
   2. interaction spec
   3. props/state model
   4. Request a font pairing: AI knows which Google Fonts look good together

4. Which of these is directly relevant to AI coding: turning a design spec into a component?

   1. component design
   2. props/state model
   3. Request a font pairing: AI knows which Google Fonts look good together
   4. interaction spec

5. Which of the following is a key point about AI coding: turning a design spec into a component?

   1. Enumerate visual states from a list (loading, empty, error, success)
   2. Wire props and event handlers to a stated contract
   3. Match accessibility patterns when explicitly named
   4. Request a font pairing: AI knows which Google Fonts look good together

6. What is one important takeaway from studying AI coding: turning a design spec into a component?

   1. Decide which interactions need keyboard support
   2. Infer your design tokens from a screenshot alone
   3. Match brand voice in microcopy without examples
   4. Request a font pairing: AI knows which Google Fonts look good together

7. What is the key insight about "Try this prompt" in the context of AI coding: turning a design spec into a component?

   1. Request a font pairing: AI knows which Google Fonts look good together
   2. AI splits one big diff into multiple atomic commits.
   3. Build a {Component} in {framework}. Props: {typed list}. States: loading, empty, error, success — describe each.
   4. mobile

8. What is the key insight about "Watch out: invented design primitives" in the context of AI coding: turning a design spec into a component?

   1. Request a font pairing: AI knows which Google Fonts look good together
   2. AI splits one big diff into multiple atomic commits.
   3. mobile
   4. AI invents components like <Card> or <Stack> that don't exist in your library.

9. Which statement accurately describes an aspect of AI coding: turning a design spec into a component?

   1. Pixel-perfect prompts produce throwaway code. Behavior-and-states prompts produce components that integrate with your design system, where s…
   2. Request a font pairing: AI knows which Google Fonts look good together
   3. AI splits one big diff into multiple atomic commits.
   4. mobile

10. Which best describes the scope of "AI coding: turning a design spec into a component"?

    1. It is unrelated to ai-coding workflows
    2. It focuses on Describe states, props, and interaction model — not visual styling — and AI produces components that
    3. It applies only to the opposite beginner tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about AI coding: turning a design spec into a component?

    1. Request a font pairing: AI knows which Google Fonts look good together
    2. AI splits one big diff into multiple atomic commits.
    3. What AI does well here
    4. mobile

12. Which section heading best belongs in a lesson about AI coding: turning a design spec into a component?

    1. Request a font pairing: AI knows which Google Fonts look good together
    2. AI splits one big diff into multiple atomic commits.
    3. mobile
    4. What AI cannot do

13. Which of the following is a concept covered in AI coding: turning a design spec into a component?

    1. component design
    2. props/state model
    3. interaction spec
    4. Request a font pairing: AI knows which Google Fonts look good together

14. Which of the following is a concept covered in AI coding: turning a design spec into a component?

    1. component design
    2. props/state model
    3. interaction spec
    4. Request a font pairing: AI knows which Google Fonts look good together

15. Which of the following is a concept covered in AI coding: turning a design spec into a component?

    1. component design
    2. props/state model
    3. interaction spec
    4. Request a font pairing: AI knows which Google Fonts look good together