AI-Generated Code Review — Vocabulary and Language
Learn vocabulary for reviewing and discussing the quality of AI-generated code.
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What does 'hallucination' mean when discussing AI-generated code?
In AI coding context, hallucination refers to code where the AI confidently generates references to non-existent APIs, functions, or library methods that never existed or have since been removed.
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What is 'plausibility bias' when reviewing AI-generated code?
Plausibility bias is the human tendency to trust AI code that looks syntactically and structurally correct — without deeply checking logic, edge cases, or correctness. A known risk in AI-assisted development.
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Which statement best describes 'AI code ownership' in a team?
In team workflow, the developer who accepts and commits AI-generated code is fully responsible for its correctness, security, and quality — as if they had written it themselves.
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What does 'dead code generation' mean in AI coding context?
AI models sometimes generate syntactically correct code that is actually unreachable, duplicate of existing code, or not used anywhere — requiring reviewers to identify and remove it.
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What is 'security review of AI-generated code'?
AI models can generate insecure code (SQL injection, hardcoded credentials, insecure crypto) that passes superficial review. Security review of AI code specifically checks for these patterns.