Pairbility is the measurement layer for enterprise AI proficiency. We instrument how engineers collaborate with AI — across 8 dimensions and 40+ sub-skills — so you can answer the question your board keeps asking.
A lightweight MCP agent integrates with your team's existing AI tools. An on-premise Edge Server scores everything locally — no sensitive data leaves your network.
Install the Pairbility MCP agent into Cursor, Copilot, or Claude Code. 10-minute setup, zero disruption to engineer workflows. Works with the tools your team already uses.
The agent observes how engineers collaborate with AI — prompt quality, critical review of suggestions, model switching, error detection. Behavioral signals, not just activity metrics.
The Edge Server scores each engineer across 8 dimensions and 40+ sub-skills. Team heatmaps, adoption trends, proficiency distributions — the data your CTO needs for the board.
Interactive dashboards let managers drill into team and individual profiles. Identify who needs coaching, where AI adoption stalls, and which teams are getting real ROI — then track improvement over time.
Not activity metrics. Not code output. The behavioral patterns that separate engineers who are genuinely more productive from those who aren't.
I watched engineering orgs struggle to measure developer effectiveness for two decades. When AI coding tools arrived, the problem exploded — teams adopted Copilot and Cursor with zero way to know if it was helping or hurting.
I realized the entire assessment industry was built for a world that no longer exists. Every coding test assumes a human working alone. That's not how anyone works anymore. Pairbility is the measurement layer for the AI era.
Pairbility is launching soon. Join the waitlist for early access.