Vibe Coding Fundamentals — Build Without Coding

Question 1 of 5

Why does AI perform exceptionally well when generating login forms or CRUD APIs?

• These tasks require less code, so there are fewer tokens to predict
• AI has special modules dedicated to common web development patterns
• These patterns appear thousands of times in training data, making predictions highly accurate
• Login forms and CRUD APIs follow deterministic rules that AI can reason about

Question 2 of 5

What does 'temperature' refer to in the context of AI code generation?

• A sampling parameter that introduces randomness, causing different outputs from the same prompt
• The processing speed of the AI model
• The length of the generated code output
• The complexity level of the code the AI is capable of generating

Question 3 of 5

You run the same prompt three times and get three slightly different implementations. What does this demonstrate about AI coding tools?

• The AI is learning from each run and improving its output
• There is a bug in the AI system that needs to be reported
• The prompt was ambiguous and needs to be rewritten more clearly
• AI operates as a probabilistic system, not a deterministic one, due to sampling randomness

Question 4 of 5

Your app throws an error after the AI makes a change. What is the most effective way to get the AI to fix it?

• Describe the error from memory in your own words
• Copy-paste the exact error message from the console back to the AI
• Ask the AI to 'check for any errors' without giving specifics
• Undo the AI's last change and try a different prompt

Question 5 of 5

What is the most significant risk of ignoring the error console at the start of a session?

• The AI will refuse to process new prompts until errors are cleared
• You may build new features on top of existing broken functionality, compounding problems
• The file tree will not display correctly until errors are resolved
• The context window will fill up faster when errors are present