Developer Insights — Real-Time Activity for Engineering Teams
See who's flying, who's stuck, and who never installed it. Real-time daily activity per developer, no more waiting for standup to find out where work is blocked.
What this dashboard answers
This page is a preview. The dashboard is built on the same capture layer described on Activity Tracking — prompts, observations, local git commits, and a process heartbeat shipped from each developer machine to your org subdomain. Want a walkthrough today? Book a demo and we'll show it live.
- Real-time daily activity per developer — sessions, prompts, commits, and project context refreshed every three minutes.
- Power-user vs. occasional-user vs. zero-activity classification — surface the engineers who need help and the ghost seats you can reclaim.
- Where each engineer is working, on what, with what blockers — derived from project paths, branches, and observation patterns.
Book a 15-minute demo with a founder — we'll show your team's data live.
See your team's four-insight profile
Activity Tracking captures the data; this dashboard reads it. A 15-minute demo shows both.
AI pair programming analytics and cost per session
Tracking AI pair programming goes beyond session counts. The questions engineering leaders need answered are: what does each session cost, how does cost vary by developer and task type, and which pair-programming patterns produce the most output per dollar spent?
Developer Insights surfaces cost per session alongside activity depth, so you can see whether higher-spending developers are proportionally more productive. For a detailed breakdown of what agentic AI sessions cost per merged PR — including real data for Sonnet vs Opus and how prompt caching cuts cost 40–60% — see How Much Does It Actually Cost to Merge a PR with Claude Code?