What is one major risk of relying too heavily on AI-generated code?

Question

BlackTom AI · Accepted Answer

Consider the question: 'What is one major risk of relying too heavily on AI-generated code?' The options present different claims, so we evaluate each.
Option 1: 'It always produces slow code.' While performance can be a concern in some cases, it's not a universal or guaranteed outcome of AI-generated code. Some AI outputs can be fast or optimized, so labeling all AI-generated code as slow is inaccurate.
Option 2: 'It may include hallucinations, bugs, or insecure patterns.' This is a well-supported risk. AI models can generate code that looks plausible but contains logical errors (bugs), speculative or incorrect implementations (hallucinations), or practices that introduce vulnerabilities (insecure patterns). This reflects real-world cautions when using AI as a coding aid.
Option 3: 'It requires no human intervention.' Relying entirely on AI without human review is risky because AI lacks full understanding of context, project constraints, and security considerations; thus this statement is false as a general claim.
Option 4: 'It is never syntactically valid.' AI-generated code can sometimes be syntactically valid, though it may be semantically flawed. Therefore this statement is incorrect as an absolute claim.
Summarizing the evaluations: the second option accurately captures a major risk—AI code can hallucinate, contain bugs, or adopt insecure patterns—while the other options either overgeneralize, understate, or misstate the nature of AI-generated code. The point about potential errors and security issues aligns with widely acknowledged cautions in software development with AI assistance.

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What is one major risk of relying too heavily on AI-generated code?

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