Span Unveils AI Code Detector to Help Technology Leaders Measure the Adoption and Impact of AI-assisted Coding

Span, the developer intelligence platform, has launched its AI code detector to measure AI-assisted coding adoption and impact. The AI code detector delivers over 95% accuracy across AI coding tools. As AI coding adoption accelerates, this launch addresses a vital industry gap. The innovation provides verifiable insights for technology leaders.

Solving the AI Measurement Gap

Boards and executives increasingly demand accurate metrics to validate AI adoption. However, many CTOs and engineering leaders rely on surveys or self-reported data. These methods fail to show how much code AI generates. The lack of credible metrics creates uncertainty around AI’s value. Span’s AI code detector closes this gap by offering evidence-based insights.

“Engineering leaders face pressure to prove AI’s value, yet decisions rely on anecdotal claims,” said Henry Liu, Co-founder and CTO of Span. “Our AI code detector provides objective ground truth, enabling leaders to guide AI transformation with confidence.”

Powered by Proprietary Machine Learning

The AI code detector runs on Span’s proprietary model, span-detect-1. This machine learning model is trained on millions of AI and human-written code samples. It identifies AI-written code by analyzing token patterns, syntax details, and stylistic traits. With this approach, the model estimates the percentage of AI-generated code.

The detector supports Python, TypeScript, and JavaScript at launch. Span plans to expand support for additional programming languages. Unlike narrow telemetry or self-reported data, the solution offers tool-agnostic visibility across coding platforms.

“Span is the only solution that measures all AI coding tools we use at Vanta,” said David Ko, Senior Director, Head of Product Engineering at Vanta. “This visibility helps us track productivity, code quality, and business outcomes.”

Transforming Engineering Leadership

Span’s AI code detector allows technology leaders to connect AI adoption with measurable results. By enabling accurate tracking, the platform empowers leaders to make data-driven decisions. This innovation strengthens accountability, accelerates ROI analysis, and supports responsible AI adoption in engineering organizations.

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News Source: Businesswire.com