LinearB Blog | Insights and Best Practices for Software Engineering Leaders

AI-driven development fails without unified context and governance

Dan Lines and Ben Lloyd Pearson reveal why AI-driven development fails without unified context and modern infrastructure. Discover how to eliminate fragmented...

AI Code Review Metrics: Unveiling AI Impact with LinearB

Discover how LinearB's new AI Code Review Metrics Dashboard helps engineering leaders track AI adoption, measure code quality impact, and demonstrate ROI.

Leadership

Strategic lessons from Google on improving engineering teams

Learn key lessons from Google on aligning engineering with business goals, boosting developer productivity, and building sustainable team culture.

Join our community of data-driven dev leaders

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DevEx

Data quality is the foundation for AI-driven software development

Learn why data quality and trust are essential for AI-driven software development, with strategies to build reliable, human-centered AI systems.

Product

Engineering metrics that help teams improve sprint over sprint

Get visibility into sprints, team workload, cycle time, and performance trends. Run better retros and stand-ups with actionable, real-time insights.

DevEx

Your next user isn’t human: AI agents are changing software design

AI agents are redefining software design. Discover how MCP and agent experience are reshaping product strategy for engineering leaders in the AI era.

How Google DeepMind is transforming engineering with AI

Explore how Google DeepMind uses AI to break role silos, boost learning, and reshape engineering culture for a more versatile developer future.

DevEx

Balancing technology, process, and communication to improve developer productivity

Discover how to enhance developer productivity by strategically balancing technology, process, and communication, reducing "noise," and implementing automated...

DevEx

The 12 goals Google uses to define AI-driven engineering

Discover Google's 12 goals for AI-driven engineering. Learn the blueprint top teams use to master AI development and gain a competitive edge.

Blog

AI-driven development fails without unified context and governance

AI Code Review Metrics: Unveiling AI Impact with LinearB

Strategic lessons from Google on improving engineering teams

Join our community of data-driven dev leaders

Data quality is the foundation for AI-driven software development

Engineering metrics that help teams improve sprint over sprint

Your next user isn’t human: AI agents are changing software design

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Developer Experience Quantified: The Impact on Productivity

What is Developer Productivity and How to Measure It

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How Google DeepMind is transforming engineering with AI

Balancing technology, process, and communication to improve developer productivity

The 12 goals Google uses to define AI-driven engineering