measuring GenAI ROI
Measure the impact of Copilot & Cursor on developer productivity
Easily measure and visualize the impact AI code assistant tools are having on cycle time, team productivity and developer experience.
Accelerating the future of engineering
Understand the ROI of your AI tools
Productivity metrics for Copilot, Cursor and more
From code assistant tools to AI code reviews, translating adoption into business impact is easy with out-of-the-box tracking and metrics dashboards.
Breakdown your cycle time into four phases to understand exactly where your AI tools are providing the most help, and where code is still getting stuck.
Build the metrics you need
Segment your data by team, repository, service or time frame to measure the ROI of your tools across the entire SDLC.
Build custom metrics using our metrics API to import data from your AI and CI/CD tools to gather additional insights into what is happening within your AI initiative.
Integrates with the tools you love
Don’t just measure...automate
Move beyond simply measuring Copilot and begin using AI to automate developer toil. DevEx leaders use LinearB automations like AI-driven code reviews, iteration summaries and PR descriptions to solve developer problems at scale.
The LinearB difference
Constantly updating
Not only is our code review identifying major bugs and providing suggestions for correcting the error, but it keeps updating with new issues and descriptions.
Level of control
DevEx teams have granular, centralized, and flexible YAML-based control that scale process changes across multiple squads.
Orchestration
When our AI review provides a LGTM, you can set it to auto-approve, or trigger additional reviews from code experts or specific teams—whatever fits your governance model.
Cost
Our AI code reviews and PR description automations come bundled in your LinearB subscription—no extra charge.
Workflow automation has had a cascading impact on improving business outcomes while enabling my team to focus on solving the correct problems. Tracking DORA metrics helped us pinpoint areas of flow that could be enhanced, dramatically boosting team morale and engagement.
Craig W.
Head of Engineering, Flipdish
Check it out for yourself in this live 2 minute demo
Compound time savings with AI PR descriptions
Pull request descriptions are daily toil that can be both automated away and improved upon using a simple AI automation.
While you’re saving every developer 5-15 minutes on every pull request, the downstream PR review managers will be praising your documentation processes.
Explore the full LinearB Platform
Schedule a demo to explore how we:
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.
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