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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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.
Guide
Migrating from Appfire Flow: a practical guide for engineering teams
Flow will cease operations in 2027. If your team built workflows, dashboards, and quarterly reviews around Flow, you have a real problem on a fixed deadline.
Workshop
Life beyond tokenmaxxing: AI efficiency for the long term
Watch a 45-minute session on how to measure AI's real impact across the SDLC and win the executive conversation about engineering efficiency.
Guide
Measuring Efficiency in the AI-Driven SDLC
Measuring efficiency in the AI-driven SDLC means tracking whether your whole software delivery system got faster and more reliable, not just whether developers...