AI Code Detector by Span is a machine learning-powered tool designed to identify AI-generated code within software repositories. By analyzing code patterns, syntax, and structure, it distinguishes between human-written and AI-generated code with a 95% accuracy rate for languages like TypeScript and Python. This capability enables engineering teams to monitor and assess the impact of AI coding tools on their projects. Key Features and Functionality: - High Accuracy Detection: Utilizes the span-detect-1 model, trained on millions of code samples, to achieve 95% accuracy in identifying AI-generated code. - Comprehensive Analysis: Examines semantically-generated code segments to classify them based on style, syntax, and structure. - Tool-Agnostic Operation: Compatible with any AI coding assistant and integrated development environment (IDE) without requiring additional integrations or manual tagging. - Insightful Metrics: Provides metrics such as the ratio of AI to human-authored code over time and monitors defect rates in AI-generated code to ensure quality. Primary Value and Problem Solved: AI Code Detector addresses the challenge of measuring the impact of AI-generated code within development projects. By offering clear visibility into the presence and quality of AI-authored code, it empowers engineering leaders to make informed decisions, optimize AI tool usage, and maintain high code quality standards. This data-driven approach facilitates effective management of AI integration in software development processes.