Span

Span is an AI-native developer intelligence platform that helps engineering leaders cut coordination costs and improve team performance at scale. It connects to your existing engineering tools to measure how work really happens, including AI-generated code in production, and turns that data into clear insights about productivity, focus, and developer experience. By unifying metrics, surveys, and behavioral signals in one place, Span gives organizations a complete picture of engineering health so they can make better decisions and free teams from unnecessary busywork.

Key features

• Code-level AI detection that measures AI-written code in production with about 95% accuracy, giving a trustworthy view of AI adoption and impact.
• Automatic categorization of engineering effort so leaders can see how much time goes to maintenance, strategic work, and “keeping the lights on” without manual tagging.
• Built-in developer productivity and experience program, including metrics like velocity and PR cycle time plus research-backed surveys to benchmark sentiment over time.
• AI-powered insights and automations that summarize activity, surface real-time signals, and help automate tasks like cost capitalization and progress reporting.

​Use cases

• Understanding the true impact of AI coding tools by tracking AI vs human-authored code, quality, and ROI at the code level.
• Reducing coordination overhead in large engineering teams by highlighting bottlenecks, fragmented time, meeting load, and work that does not move the business forward.
• Running a continuous developer experience program with pulse surveys, sentiment tracking, and benchmarks to spot issues early and improve how teams work.