Study finds AI-generated code statistically indistinguishable from human code in real-world projects

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A developer attempted to create a reproducible signature to identify AI-generated code in pull requests. They analyzed approximately 280 complexity and structural metrics across both public and private repositories. The analysis found no statistically significant difference between AI-generated and human-written code. The researcher concluded that AI models produce code near the mean of their training data, masking any signal when compared against the broader human population. Subsequent academic papers suggest differences fade in real-world use due to tooling and review processes.

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