GitKraken Insights Documentation

Last updated: September 2026

GitKraken Insights gives engineering leaders a single view of how AI tools, code delivery, and team capacity work together. The AI Adoption section measures how much your team is actually using AI, how autonomously, and what AI is actually delivering — in time and dollars.

Getting Started
Orientation, first dashboard, and role-specific quickstarts
Connect Your Data
Link git providers, AI coding tools, and project trackers
Metrics
21 metrics across five families
Playbooks
Action-first diagnostic guides for common scenarios
Admin & API
Settings reference and manual releases API
The GitKraken Insights AI Adoption dashboard showing team-level flow and delivery metrics

Plan: GitKraken Insights
Platform: Browser only via gitkraken.dev
Role: Lead, Admin, or Owner

Where AI Adoption shows up in the product

  • /ai-adoption/developers — primary surface. Each row has Adoption, Agentic, Tier, and a heatmap.
  • /ai-adoption/teams — team averages and tier mix bars.
  • /ai-adoption/ai-tools-comparison — cohort comparisons (e.g. team A vs. team B, or Claude vs. Codex users).
  • /ai-adoption/executive — hero KPI (“AI Adoption %”) and trend lines.
  • /ai-adoption/ai-impact — autonomy deep dive and Business Impact / ROI.
  • /ai-adoption/capex — CapEx / OpEx split as the primary surface.
  • Adjacent surfaces in the same nav family: /ai-adoption/board-metrics, /ai-adoption/data-connections, /ai-adoption/data-explorer, /ai-adoption/settings/*.