Span's AI Code Detector Uses Machine Learning to Identify AI-Generated Code with 95% Accuracy
By
henryl
Sat out too long. The crust has gone leathery.
Summary
AI Code Detector by Span is a machine learning tool that analyzes code to distinguish between AI-generated and human-written code with 95% accuracy. It uses the span-detect-1 model trained on millions of code samples, examining semantic chunks for patterns in style, syntax, and structure. The tool addresses the challenge of inconsistent reporting from AI coding tool vendors by providing engineering leaders with better visibility into AI's actual impact on codebases.
Key quotes
· 3 pulledAI Code Detector is powered by span-detect-1, a machine learning classifier trained on millions of AI-generated and human-written code samples
It looks at semantically-generated 'chunks' of code to classify them as AI-generated and human-written based on patterns in style, syntax, and structure
The machine learning model that powers AI Code Detector, span-detect-1, gives engineering leaders real visibility into the AI
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