Out of the box: GitHub, GitLab, Bitbucket, Jira, Slack, Google Workspace, and the major AI coding tools, including Cursor, Claude Code, and GitHub Copilot. 10+ integrations live today, with Linear and Notion shipping next and more monthly. Every connector uses scoped OAuth. Tetriz never writes back to source systems.

DORA shows what happened. Tetriz shows why, and what to do about it. AI Session Analytics, Prompt-to-PR Attribution, and session-level coaching layer on top of delivery metrics. Engineering teams aren't just seeing where the slowdowns are. They see which AI sessions produced code that shipped and which produced rework.

Copilot Enterprise is a coding assistant. Tetriz is the analytics layer for AI investment across every assistant in use, including Copilot. Copilot reports on Copilot. Tetriz reports whether AI code is shipping, who is getting real value, and what ROI looks like across Cursor, Claude Code, and Copilot side-by-side. Different tool, different question.

First insight in 15 minutes. Full picture in 48 hours, once GitHub and AI tools are connected. Promptly runs locally on each engineer's machine, zero IT approvals required. Connecting the rest of the stack is an upgrade engineering teams run when ready, not a prerequisite.

Organisations with 20 to 300 developers using Cursor, Claude Code, or Copilot.

That's exactly the use case Tetriz is built for. Tetriz reconciles identity across tools, so when an engineer uses Cursor for some work and Copilot for others, the result is a unified view of their AI activity rather than siloed stats from each tool.

No. Promptly runs in the background and reads AI session data from Cursor and Claude Code. Nothing to tag, nothing to log, no new workflow.