How Tandemu detects prompt loops and tool failures using session-level telemetry — no keystrokes, no screen recordings.

Measuring Developer Friction Without Surveillance

How Tandemu detects prompt loops and tool failures using session-level telemetry — no keystrokes, no screen recordings.

The Surveillance Trap

Many developer productivity tools cross the line. Screenshot monitoring, keystroke logging, app tracking — these tools destroy trust and make developers feel surveilled. The result is gaming metrics rather than genuine productivity improvement. Tandemu takes a fundamentally different approach.

Session-Level Telemetry

Tandemu collects only session-level metrics: how long a coding session lasts, how many files were changed, the AI-to-manual code ratio, and where friction occurred. No keystrokes. No prompt content. No screen recordings. This gives leads the data they need without compromising developer privacy.

Detecting Friction Automatically

Friction in Tandemu is defined by observable patterns: prompt loops where the AI fails repeatedly on the same problem, tool errors that interrupt flow, and files where developers consistently spend disproportionate time. These signals surface problems before developers report them — or in many cases, before developers even realize they’re stuck.

Trust, Verified

The open-source nature of Tandemu means any developer can audit exactly what data is collected. There are no hidden metrics, no secret dashboards for managers. What leads see is what developers know they see. This transparency is the foundation of trust.