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1. What is the core idea behind “vibe coding”?
A) Describing what you want in natural language and iterating quickly with AI B) Writing complete specifications before allowing AI to generate code C) Automating only frontend styling decisions D) Replacing engineering teams entirely with AI
2. Why is research still critical when building products with AI?
A) Because AI accelerates mistakes if the direction is wrong B) Because AI cannot generate code without research C) Because research replaces the need for iteration D) Because AI requires formal academic sources
3. What is a key mindset shift required in AI-assisted development?
A) Slowing down to avoid mistakes B) Evaluating AI output as a core skill C) Delegating all technical decisions to AI D) Avoiding internal tools
4. What problem does “feature by feature” building aim to prevent?
A) Slow deployment B) Frankenstein apps caused by uncontrolled AI output C) Lack of UI polish D) Missing documentation
5. Why are checkpoints important in AI-driven development?
A) They improve UI aesthetics B) They allow rollback to a last working state C) They eliminate the need for testing D) They make AI output more creative
6. What is the main role of an LLM in the vibe coding workflow?
A) Acting as a deployment platform B) Generating UI components automatically C) Helping plan, reason, and decompose problems D) Replacing databases and infrastructure
7. Why is debugging considered an essential skill when working with AI-generated code?
A) Because AI cannot run code B) Because debugging turns AI output into a shippable product C) Because debugging replaces testing D) Because AI-generated code never compiles
8. What is a recommended approach when prompting AI during development?
A) Use one massive prompt for everything B) Avoid asking AI to plan C) Break long prompts into smaller steps D) Never reuse past prompts
9. Why is architecture awareness important even when AI writes most of the code?
A) Because architecture only affects performance B) Because lack of awareness leads to unbuildable or fragile systems C) Because AI refuses to work without diagrams D) Because architecture replaces product thinking
10. What is the recommended way to move from prototype to real-world validation?
A) Relying on AI confidence scores B) Waiting until the product is polished C) Adding more features before testing D) Showing the prototype to users and iterating based on feedback
