Measure AI Impact
You bought the AI tools. Now prove they're working.
Track AI adoption and delivery impact at the pull request level, across every tool your team uses, with zero-friction setup. So when your CEO asks about AI ROI, you have a concrete answer.
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Trusted by the teams transforming software delivery
3 hours
Saved per developer, every week
19%
Faster cycle time in the first six months
102 mil+
Developer workflows automated with LinearB
1 mil+
Engineers shipping faster with LinearB
The problem
Your Copilot doesn't show whether AI-generated code is shipping faster or with fewer defects.
Your CEO asks about AI ROI every quarter. You're still building the answer in a spreadsheet.
Adoption is strong, but cycle times haven't moved. Is it an AI problem or a workflow problem?
You have no visibility into AI acceptance rates, quality impact, or which AI tools are worth the spend.
The solution
Measure AI at the pull request level. See if AI wrote the code, reviewed it, or authored the PR autonomously.
Report AI-assisted PR rates, acceptance rates, quality impact, and delivery correlation by team and tool.
Connect AI leverage to cycle time, planning accuracy, and developer satisfaction to see the full picture.
Set your own thresholds for what counts as AI-assisted, and use a governance framework built for scale.
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Everything you need to measure and improve delivery
Discover powerful insights into your team's health, projects and pipeline by extracting, transforming, and visualizing the data locked up in your engineering systems.
Integrates with the tools you love
See exactly how AI contributes to every pull request
Your view of AI leverage across every team and tool
The AI Insights Dashboard shows you exactly how AI is contributing to your engineering output, broken down by team, tool, and pull request. Track AI-assisted PR rates, acceptance rates, and quality metrics in one place, with no manual data assembly required.
Catch the risks AI introduces before they reach production
AI generates code faster than most teams can safely review it. LinearB's AI Code Review automatically scans every pull request for security vulnerabilities, bugs, performance issues, and spec mismatches before merge. You get the speed AI promises without the quality debt.
Automate the workflows AI makes necessary
When AI accelerates code generation, review queues grow and manual bottlenecks compound. LinearB uses policy-as-code to automatically route AI-assisted PRs to the right reviewers, enforce quality gates, and trigger approvals based on contribution signals.
AI should enable developers, not burn them out
Throughput numbers can look strong while developer satisfaction quietly erodes. LinearB combines Git metrics with in-platform developer experience surveys to give you the full picture. Catch friction before it becomes attrition.
Our customers are super cool
Natively secure, obsessively compliant
LinearB is proud to be externally verified as compliant to the following standards and can provide supporting evidence and information about the controls we have in place to meet these standards:
FAQs
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Measure your engineering team’s health and boost productivity.
Track the impact of GenAI on your delivery pipelines.
Allocate your team resources based on business priorities.
Automate workflows and improve your developer experience.
Accurately forecast and deliver your projects on time.