Weave vs LinearB: which engineering intelligence platform is right for your team?
Both Weave and LinearB help engineering leaders measure productivity and AI impact. The difference is depth. Weave reads the work itself, using LLMs and machine learning on every PR, review, and deploy. LinearB tracks pipeline metrics from Git and Jira and automates PR workflows. Here's the full breakdown.
The short version
Weave measures human and AI contributions directly from code, across every PR, review, and deploy, normalized into a single output unit calibrated to expert benchmarks. LinearB tracks Git and Jira pipeline metrics like cycle time and DORA, and automates PR workflows.
Teams typically choose Weave when they want objective, code-level measurement of engineering output and AI ROI, with a real free tier and simple pricing at $50 per engineer. Teams typically choose LinearB when PR workflow automation and pipeline metrics are the priority, and they can commit to annual billing with 30 to 50 seat minimums.
At a glance
How Weave and LinearB compare
Compare
Weave
LinearB (linearb.io)
Core approach
LLMs + domain-specific ML read the code itself
Git and Jira pipeline metrics plus PR workflow automation
AI vs. human attribution
Built in: every contribution attributed at the code level
AI impact dashboard split by AI and human-driven delivery
Measurement unit
Normalized units of work, calibrated to expert benchmarks, not line counts
DORA, cycle time, and throughput metrics
Code quality insight
Quality, review intelligence, and code turnover measured from shipped code
AI code review bot that flags issues pre-merge
Time to value
Live before the end of the day; self-serve signup
45-day trial, then annual contract with seat minimums
Pricing
Free Starter; $50/engineer Pro, monthly or yearly; no seat minimums
$29 to $59/user/mo, annual billing only, 30 to 50 seat minimums, plus usage credits
AI agent for insights
Wooly: ask anything about your engineering org
MCP server and AI retro summaries
Benchmarking
Benchmarked against comparable teams + DORA
Benchmarks from 6M+ PRs
Compliance
SOC 2 Type II, GDPR, HIPAA, SSO/OIDC, SCIM
SOC 1/2 Type II, ISO 27001, GDPR, SAML SSO, SCIM
Scale
500+ organizations incl. Fortune 100; 2M+ PRs analyzed; 20,000+ engineers
Enterprises incl. Expedia, Adobe, and Peloton
What is Weave?
Weave is the engineering intelligence platform for the AI era. It uses LLMs and domain-specific machine learning to understand engineering work at the source: the code itself. It normalizes that work into a single unit of output, calibrated to expert benchmarks rather than line counts or story points. Because Weave reads the work directly, it can tell you things pipeline metrics can't: how much of your output was written by AI versus humans, which AI tools are actually helping your team ship faster, and whether AI is affecting code quality and review load. Weave is trusted by 500+ organizations, from seed-stage startups to Fortune 100 companies.
What is LinearB?
LinearB (linearb.io) is an engineering productivity platform that tracks pipeline metrics from Git and Jira, like cycle time, DORA, and throughput, and pairs them with PR workflow automation: policy-based routing, approvals, AI code reviews, and auto-generated PR descriptions. It benchmarks teams against data from 6M+ PRs and is used by enterprises like Expedia, Adobe, and Peloton. LinearB is a capable process tool. The question is whether pipeline metrics and PR automation can tell you what your engineers and AI agents actually produced.
The key difference
Measuring the work vs. measuring the pipeline
LinearB's approach
LinearB measures the pipeline: how fast PRs move, where reviews stall, and how cycle time trends. Its automations then optimize that pipeline. Useful, but the metrics stop at the surface of the work. A faster PR is not the same thing as more or better engineering output, and a cycle-time dashboard can't tell you what AI actually contributed.
Weave's approach
Weave analyzes every PR, review, and deploy as it happens. LLMs and domain-specific ML, tuned to your codebase, evaluate the actual engineering work, attribute it to humans or AI, and normalize it into a benchmarked unit of output. Speed metrics tell you how fast the pipeline moves; Weave tells you how much real work came out of it, and who or what did it.
If your team ships with Cursor, Claude Code, Copilot, or autonomous agents, cycle time keeps falling no matter what. The question that matters now is what all that speed is producing, and that's a question only code-level measurement can answer.
Why Weave
Why teams choose Weave over LinearB
Output, not just velocity
Cycle time and DORA tell you how fast the pipeline moves. Weave measures what came out of it: normalized units of real engineering work, calibrated to expert benchmarks, comparable across teams and time.
Code-level AI attribution
LinearB's AI dashboard splits delivery into AI and human buckets from PR metadata. Weave attributes the code itself, per tool and per contribution, so you can defend your AI ROI numbers in front of a board.
Simple pricing, no credit math
Weave is a free Starter plan or $50 per engineer, monthly or yearly, with no seat minimums. LinearB requires annual billing, 30 to 50 seat minimums, and a monthly credit system for AI actions and automations.
Every stack on every plan
LinearB's Essentials tier supports GitHub Cloud only; GitLab, Bitbucket, Azure DevOps, Jira, and Slack integrations require Enterprise. Weave connects your tools without tier gating, and Enterprise adds GitHub Enterprise support.
Ask your org anything
Wooly, Weave's AI engineering agent, answers questions about your engineering org in plain language, from "which team got the most out of Claude Code last quarter?" to "where is AI adding review burden?"
Enterprise-grade from the start
SOC 2 Type II certified, GDPR and HIPAA compliant, SSO/OIDC, SCIM provisioning, and regular third-party audits, all without an annual contract to get started.
When LinearB might be the better fit
We'd rather you pick the right tool than just pick us. If your primary need is automating PR workflows, LinearB's gitStream automation is genuinely strong: policy-as-code merge rules, reviewer routing, and one-click approvals that Weave doesn't aim to replace. Some teams even run LinearB for workflow automation alongside Weave for measurement. But pipeline metrics alone shouldn't decide it: if you need to know what your engineers and AI agents actually produced, with objective, code-level attribution you can defend in front of a board, that's what Weave was built for.
Customer Story
"Our goal is to ship the highest quality product as fast as possible for our customers. We use Weave to get an objective measurement and keep ourselves honest about how we're doing."
Raunak Chowdhuri
Founder & CTO, Reducto
+19%
Increase in measured engineering output
60 days
From install to first executive report
Frequently asked questions
What's the main difference between Weave and LinearB?
Weave measures engineering work directly from code using LLMs and machine learning, attributing every contribution to humans or AI and normalizing output against expert benchmarks. LinearB tracks pipeline metrics from Git and Jira, like cycle time and DORA, and automates PR workflows. Weave measures what was produced; LinearB measures and optimizes how fast the pipeline moves.
Is Weave or LinearB better for measuring AI coding tools like Cursor, Claude Code, and Copilot?
Weave is purpose-built for AI measurement: it attributes code to specific AI tools, quantifies AI's impact on velocity, quality, and review throughput, and provides observability for autonomous coding agents. LinearB offers an AI impact dashboard that splits delivery metrics by AI and human contribution, which is useful for adoption tracking but stops short of code-level attribution.
How much do Weave and LinearB cost?
Weave has a free Starter plan and Pro at $50 per engineer per month, billed monthly or yearly, with no seat minimums. LinearB publishes prices of $29 (Essentials) and $59 (Enterprise) per user per month, but billing is annual only, plans carry 30 to 50 seat minimums, and AI actions consume monthly usage credits with paid top-ups. A 30-seat Essentials contract starts around $10,000 per year.
How long does it take to get started with Weave vs LinearB?
Weave is self-serve: teams connect their tools and are live before the end of the day, and the free tier has no time limit. LinearB offers a 45-day free trial, after which you commit to an annual contract.
Does Weave automate PR workflows like LinearB's gitStream?
No. Weave focuses on measurement: output, quality, reviews, and AI attribution. LinearB's workflow automation (PR routing, policy enforcement, auto-descriptions) solves a different problem, and the two can run side by side. Teams that want one platform for measurement usually consolidate on Weave and keep their existing automation tooling.
Is Weave enterprise-ready?
Yes. Weave is SOC 2 Type II certified, GDPR and HIPAA compliant, and supports SSO (OIDC) and SCIM provisioning, with regular third-party audits. It's used by Fortune 100 companies and supports GitHub Enterprise.
Can I switch from LinearB to Weave?
Yes. Weave connects directly to your existing tools, including GitHub and your project management stack, and calibrates automatically to your codebase. Most teams see their first data the same day. Book a demo and we'll map your current LinearB reporting to Weave equivalents.
Speed tells you the pipeline moved. Weave tells you what it produced.
Weave normalizes engineering work into a single unit, calibrated to expert benchmarks. No seat minimums, no annual lock-in, no credit math.
The engineering intelligence platform for the AI era.
Trusted by engineering teams from seed stage to Fortune 500