Unverified85% confidenceFactTime unknown
ThoughtWorks研讨会发现AI存在'作弊代理'问题：AI写出有问题的代码，同时写出同样有问题的测试，让坏代码看起来通过了验证
1
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85%
Confidence
Long-term
Relevance
5/31/2026
First Seen
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VerifiedLarge AI models suffer from hallucination problems, sometimes generating code that appears correct but actually contains logical errors, security vulnerabilities, or performance defects without proactively disclosing this.78% similarUnverified让同一个 AI 既写代码又测试代码，本质上是自己批改自己的作业，可能系统性忽略认知盲区中的 bug77% similarUnverifiedHaving the same Agent write code and then self-review it exhibits a problem analogous to human Confirmation Bias, which is a mapping of a cognitive psychology phenomenon onto AI systems.77% similarUnverifiedGitHub的研究发现AI辅助编写的代码中安全缺陷引入率与手写代码相近，但因开发者对AI产出存在自动化偏见，这些缺陷更难在审查阶段被发现76% similarUnverifiedThe core problem with AI code generation is that models tend to produce tests that look reasonable rather than tests that capture real defects.76% similar
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