Guide
The APEX framework
An operating model for engineering productivity with practical guidance for how to measure AI impact.
Resource Center
Exclusive reports, workshops, and ready-to-use presentation templates for engineering leaders looking to build a continuous improvement engine.
Deliver outcomes when human attention can't keep up
Every enterprise wants its software factory running around the clock, and nobody wants to ship a risky change without a human.
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Guide
Six questions to ask your engineering data
Six playbooks you can run through the LinearB MCP server to find who is carrying your review load, how long agent work waits and where the hours spill over.
Guide
Four signals your team is absorbing AI's hidden cost
When AI output outpaces your process, your engineers absorb the difference in heavier review loads, constant context switching and weekend work. Here are the...
Guide
The AI code review bottleneck: why AI code waits 5x longer
AI-generated pull requests wait 5.3x longer for review and are accepted at 32.7% against 84.4% for human code. See where the review load lands in your data,...
Workshop
What your software factory is doing to your engineers
AI shifted engineers from writing code to reviewing it. Learn to read the strain signals in your own engineering data - before they show up as attrition.
Workshop
The great software factory debate: How do you know it’s working?
LinearB brought industry experts together for a first-of-its-kind discussion on the context layer needed to make agentic software factories measurable,...
Guide
Your software factory needs a context layer
Setting the context layer for the software dark factory. See how a context layer proves AI ROI with cost per effective PR and agentic PR yield benchmarks.
Workshop
The engineering productivity gap: How elite AI teams are pulling away from the rest
Watch a workshop on the new benchmark data behind the engineering productivity gap, and the measurement play that puts your team on the right side of it.
Workshop
From measurement to action: moving off Appfire Flow without starting over
Join a live workshop on making the move off Appfire Flow without losing your history, your team structure, or your momentum.
Guide
The AI engineering productivity gap: how elite teams pull ahead in 2026
Elite AI teams nearly doubled their merge rate in 2026 while developers using no AI stalled. See the engineering productivity gap in LinearB's 2.7M-PR data.