Better AI code comment detector

The article describes a rebuilt AI detector that identifies whether code comments were written by humans or generated by LLMs, with calibrated confidence and explainable feature-level outputs. For CIOs and technology leaders, the strategic value is in strengthening software governance, code review quality, and policy enforcement as AI-generated content becomes more common in engineering workflows, though the tool is limited to code comments and should be used as a decision-support signal rather than a standalone control. The work also highlights the importance of using public, well-structured data and careful validation to avoid leakage and build trust in AI systems that IT organizations may want to operationalize.