Guide
AI code review tools: 2025 evaluation guide
We built the industry’s first controlled evaluation framework to compare leading AI code review tools with real-world code, injected bugs & an objective...
Commit and merge AI Productivity
Insights and trends
MCP Server
Query data to uncover new insights, spot bottlenecks, and build custom reports. Use our pre-built prompts library to get started in minutes.
AI Insights
Track AI code commits, AI review impact, and tool usage by repository using this out-of-the-box metrics dashboard. No custom integration's required.
DevEx Surveys
Capture team sentiment, baseline your DSAT score, and align your processes with developer experiences.
Popular workflow automations
AI Code Reviews
LinearB AI automatically reviews changes to the code, ensuring high-quality code reviews and reducing bugs in production.
Assign Code Experts
LinearB automatically identifies the top experts for each PR, and assigns them to the review.
AI PR Description
Automatically generate a concise, AI-generated PR description, ensuring every PR includes a meaningful description.
Estimated Review Time
LinearB adds an Estimated Review Time: Minutes label to all PRs that provides developers with additional context.
Label Missing Tests
Apply a missing-tests label to any PRs that lack updates to tests. This automated policy enforcement standardized best practices.
Trigger Additional Review
Define a custom list of files and directories that trigger additional reviews. This policy can be applied for security, knowledge sharing, or high risk code areas.
The enterprise scale productivity platform
SAML SSO
Enable your teams with scalable access
Custom APIs
Import and export data across your entire stack
User Provisioning
Automated user management
On-Premise
Supporting on-prem, cloud and hybrid environments
Data Retention
Customize your back-fill and data retention periods
24/7 Monitoring
Proactive monitoring to swiftly respond to threats
More resources
Guide
Engineering Leader's Guide to Developer Productivity
Discover how to quantify developer productivity, common blockers, strategies to improve it, and how and when to present dev productivity data.
Guide
The DevEx guide to AI-driven software development
We polled 400+ software engineers on how they’re integrating AI into their daily workflows. Here’s where they stand.
Ready to close the gap between AI code and software delivery?
Ready to close the gap between AI code and software delivery?