Engineering metrics & DORA · LinearB, Inc.

LinearB

Engineering intelligence platform explicitly built around the DORA metrics, pulling data from Git and CI/CD to surface delivery bottlenecks.

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LinearB frames its product directly around the four DORA metrics (deployment frequency, lead time for changes, change failure rate, time to restore), pulling data automatically from Git providers, CI/CD pipelines and issue trackers rather than requiring manual time tracking. Beyond dashboards, it offers WorkerB, an automated workflow bot that nudges pull requests toward faster review (stale-PR reminders, review-load balancing) and can gate merges against policy. It is explicitly positioned as a tool for engineering leaders and team leads to diagnose delivery bottlenecks, with the vendor careful to message metrics as team-level signals rather than individual-performance scoring — a framing worth noting given how contested developer-productivity measurement is among practitioners. Pricing is per active contributor per month, billed annually, with a free tier for teams under 9 developers.

At a glance

Vendor LinearB, Inc.
Pricing model Subscription
Free tier Yes
Deployment Cloud
Open source No
Best for Engineering leaders wanting automated DORA-metric tracking plus active workflow nudges, not just dashboards.

Pricing

Per-contributor monthly pricing billed annually, with a minimum contributor count per plan.

Plan Price Notes
Essentials $29/contributor/month billed annually, minimum 50 contributors, 1,000 AI credits/user/month
Enterprise $59/contributor/month billed annually, minimum 100 contributors, 1,500 AI credits/user/month

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Automated DORA metrics from Git and CI/CD, no manual entry
  • WorkerB bot for automated PR workflow nudges
  • Investment/effort allocation reporting
  • Team-level benchmarking
  • Merge-gating policies tied to delivery signals
  • AI-assisted code review insights

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

Swarmia Engineering effectiveness platform combining DORA metrics, developer surveys and software capitalization reporting, sold à la carte. Jellyfish Engineering management platform pitched at connecting engineering activity to business investment and finance reporting. Waydev Git and project-management analytics platform tracking DORA metrics plus AI-assisted coding adoption, priced per active contributor. Faros AI Open-data-model engineering intelligence platform built on an open-source connector framework, covering DORA and AI-adoption metrics.

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Terms to know

KPI (key performance indicator) A measurable value tracked over time to show whether a team or process is on track toward a goal. Change failure rate The percentage of production deployments that result in a degraded service requiring a rollback, hotfix, or incident. Deployment frequency How often an organization successfully releases code to production, one of the four DORA metrics. DORA metrics Four measures of software delivery and operational performance covering release speed, stability, and recovery. Lead time for changes The time from when code is committed to when it is running successfully in production, one of the four DORA metrics. Time tracking Recording how time is spent across tasks or activities, used to analyze productivity, billing, and where hours go.

Related guides

How to choose a DORA metrics platform DORA tools agree on the four core numbers; they differ in who reads the output — engineers, finance, or executives — and that should drive the pick.