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LinearB

Engineering intelligence platform: DORA metrics, gitStream PR automation, and AI reviews.

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About

LinearB is an engineering analytics platform aimed at leaders who want visibility into how software gets built. It reports DORA metrics, cycle time, and throughput against benchmarks drawn from millions of pull requests, and its gitStream layer automates PR workflows: assigning reviewers by code ownership, labeling estimated review time, and triggering extra review on sensitive files. Recent additions include AI code reviews, AI-generated PR descriptions, an AI Insights dashboard tracking AI adoption, and an MCP server for querying engineering data in chat.

The honest picture: pricing is per-contributor with a complex credit model that some teams find opaque, and AI attribution depends on labeling discipline. Some developers raise surveillance concerns about the depth of data collection, and onboarding friction shows up repeatedly in user feedback.

What it can do

  • DORA and delivery performance dashboards
  • gitStream PR workflow automation
  • AI code reviews and PR descriptions
  • AI adoption and impact tracking
  • MCP server for conversational data queries

Setup

Connect your Git host (GitHub, GitLab, Bitbucket) plus Jira and Slack at linearb.com. Dashboards populate within minutes of connecting.

Prerequisites

A Git hosting account and ideally a project tracker like Jira for full metrics.

Use cases

engineering-metricsdorapull-requeststeam-analytics

Works with

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 48; Trending score 74/100 from researcher assessment.

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.