LinearB reports delivery-pipeline velocity from commit and PR data. Becoming AI-native is a broader question underneath that: whether engineers are directing AI sessions well, working in a harness set up to support them, and improving through coaching over time. Tetriz is built to answer it, one layer underneath the pipeline LinearB measures.
Pipeline-analytics platforms, including LinearB, connect to GitHub and Jira after a commit exists. For engineering orgs where a growing share of new code originates inside Cursor, Claude Code, or Copilot sessions, the pipeline view is already one step downstream. The real signal is upstream: the prompt, the iteration, the context the engineer gave the model.
A platform that reports what share of pull requests involved an AI tool is reporting adoption. It says nothing about whether the AI sessions producing that code were well-directed or rushed. The Tetriz Desktop App reads the session directly, so the two questions, is AI being used and is AI being used well, get separate, session-grounded answers.
Every engineer gets their own coaching view (session efficiency, focus time, prompt patterns) from the Tetriz Desktop App, independent of any team or org rollup. Getting the full picture, including GitHub, GitLab, Jira, or Slack, is part of onboarding, authorized by an admin like any other connected tool.
Not usually. Teams that value LinearB's gitStream routing and DORA history keep it for pipeline automation, and add Tetriz for the AI-session layer LinearB's commit-level data doesn't reach.
The Tetriz Desktop App on each engineer's machine, plus admin-authorized access to GitHub, GitLab, or Bitbucket for pull-request correlation. Connector setup is part of onboarding, not a later add-on.
No, and it doesn't need to. That recognition reflects real strength in delivery-pipeline analytics: what shipped, how fast. Gartner's quadrant has nothing to say about the layer earlier: whether those sessions were well-directed, whether the harness behind them helped, or whether the engineer had any way to improve at either. Tetriz reads that layer directly, before any commit exists.