LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
In this report from Gartner, you'll find:
Vendor evaluation: Analysis of DPIP vendors across the Leaders, Challengers, Visionaries, and Niche Players quadrants.
Strengths and cautions: The Gartner view of where each vendor performs and where buyers should be cautious.
Market direction: How the developer productivity insights market is changing as AI coding tools reshape software delivery.
LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
Get your copy
Why Invest in a Developer Productivity Insight Platform?
- Data-driven AI investments: Analyze engineering data to demonstrate the productivity impact of AI adoption.
- Enhanced developer workflow: Deploy platforms with developer-focused workflow automation features and qualitative feedback integrated directly into existing processes.
- Performance benchmarking: Establish baselines, set realistic improvement goals, and track progress against industry standards.
- AI-Powered insights: Leverage advanced analytics and natural language interfaces to identify bottlenecks and receive actionable recommendations.
Download the full version
Disclaimer
Gartner, Magic Quadrant for Developer Productivity Insight Platforms, Frank O'Connor, Akis Sklavounakis, Peter Hyde, Akriti Kapoor - May 5, 2026.
Gartner does not endorse any company, vendor, product, or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are a trademark of Gartner, Inc., and/or its affiliates.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from LinearB.
More resources

Guide
Build vs Buy
DIY engineering productivity dashboards fail within 3 to 6 months for the same reason every time: the dashboard was never the hard part.

Workshop
AI impact: Measure what matters
GitHub Copilot here, Cursor there, Claude Code somewhere else. AI across tools is adopted, but is it actually working?

Guide
The APEX framework
An operating model for engineering productivity with practical guidance for how to measure AI impact.