Practice vocabulary for end-to-end AI code generation workflow: write then verify, AI suggests human decides, accepting suggestions, refining AI code, and spotting subtle bugs.
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A developer says: 'Our workflow is write then ___.' What does this mean in AI-assisted coding?
'Write then verify' means the AI generates code and the developer checks it for correctness, security, and intent alignment before accepting.
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Your team's principle is 'AI ___, human ___.' Fill in the blanks for responsible AI code adoption.
'AI suggests, human decides' captures the principle that AI code generation is advisory — the developer retains final responsibility for every accepted change.
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A colleague warns: 'Accepting that suggestion changes the ___.' What are they concerned about?
When you accept an AI suggestion, the code's intent can shift. 'Accepting a suggestion changes the intent' warns that the resulting behavior may differ from what you originally designed.
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A senior engineer asks you to 'refine the AI code before merging.' What does refining typically involve?
Refining AI-generated code means critically reviewing variable names, handling edge cases the AI missed, fixing error handling, and removing any hallucinated or unnecessary imports.
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During review you say: 'The AI generated a function with a subtle ___.' What word completes this sentence and describes a hard-to-spot error?
A subtle bug is a defect that is not immediately obvious — it may only surface with specific inputs or concurrency conditions, making AI-generated code review especially important.