Span is an AI-native platform that delivers real-time intelligence on developer productivity, AI code usage, and team performance, helping leaders make data-driven decisions without overwhelming their teams. It measures AI-generated code in production with 95% accuracy, uncovers hidden workstreams, and automates metrics like DORA and cycle times, all while working in messy real-world environments. Trusted by innovative teams at companies like Vanta and Ramp, it unifies surveys, code analysis, and behavioral data to boost flow and reclaim time for innovation.
Key Features
AI code detector (span-detect-1) identifies AI vs. human-written code across tools like Python, TypeScript, and JavaScript with 95% accuracy, tracking adoption and quality.
Automates effort categorization, cost capitalization for audits, and real-time signals like trends or brag sheets for 1:1s and reviews.
Developer experience surveys, pulse checks, and benchmarks that integrate metrics with sentiment for a full productivity picture.
Works without perfect data hygiene, traceable to code repos with granular permissions for leaders, managers, and ICs.
Use Cases
Track AI coding impact on velocity, quality, and ROI to guide tool investments and reallocate time from maintenance to innovation.
Deploy metrics programs for PR times, meeting load, and sprint predictability, reducing context switching and coordination fatigue.
Automate finance reporting, surface team trends, and benchmark DX to spot issues early in startups or Fortune 500 engineering orgs.