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The problem
You're tracking AI tool adoption but have no way to tell whether it's actually improving how fast and how reliably your team ships.
Delivery metrics, AI usage data, and developer experience scores live in separate tools with no connection between them.
When something goes wrong, you find out at sprint review. When it's too late.
You can't walk into a budget conversation and prove that your engineering investments are paying off.
The solution
LinearB connects AI tool activity to pull requests, cycle time, and change failure rate so you can see impact on delivery, not just adoption counts.
One platform unifies Git analytics, AI usage data, project tracking, and developer survey results into a single connected view.
Real-time delivery forecasting and at-risk work detection surface issues while you can still act, not after the sprint closes.
Executive-ready reporting connects engineering capacity and AI spend to business outcomes, giving you the story that justifies the investment.
Everything you need to measure and improve delivery
Integrates with the tools you love
How LinearB delivers complete productivity insights
Make sure AI tools are helping, not adding pressure
All four DORA metrics, automatically calculated
AI should enable developers, not burn them out
See exactly how reliably your team hits its commitments
Hear from our Customers
Natively secure, obsessively compliant
