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Platform
AI Impact
AI Code Reviews
Catch security risks, bugs, and spec mismatches
AI & Productivity Insights
See how AI tools affect cycle time and delivery speed
Measure AI Impact
Track AI adoption and tie it to delivery outcomes
MCP Server
Chat with your data to spot patterns and boost output
Predictable Delivery
Resource Allocation
Cost initiatives and shape your investment strategy
Cost Capitalization
Capitalize engineering costs with audit-ready reports
Dev Team Management
Set targets and tie throughput to business outcomes
Efficiency
DevOps Workflow Automation
Policy-based PR routing, approvals, and tests
AI Powered Support
Unify AI and human code delivery in one clear view
Developer Experience
Optimization
Surface friction with feedback and MCP insights
Reporting
Spot what's working and what needs attention
Surveys
Turn developer feedback into actionable signals
Platform overview
The great software factory debate: How do you know it’s working?
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Customers
Pricing
Why LinearB
Why choose LinearB
Explore your data. Measure performance. Act to improve it.
APEX framework
The operating model for AI-era engineering teams
Anti-FAQ
The questions other vendors won't answer
Security
Enterprise-grade compliance and zero code access
Build vs. buy
The hidden cost of building it yourself
Resources
Dev Interrupted Podcast
Conversations with engineering leaders
Reports & Guides
Deep dives on productivity and delivery
Webinars
Expert sessions on productivity and AI
Metrics Benchmarks
See how your engineering org stacks up
Blog
Product updates and practical insights
Help Center
Documentation, setup, and support
API Docs
Status
Integrations
LinearB Library
Engineering metrics
Platform engineering
Engineering glossary
Developer productivity
AI in software development
Engineering management
Developer experience
DevOps
Engineering operations and the context layer
Engineering efficiency
Software delivery
Research and data
LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
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