LinearB Blog | Insights and Best Practices for Software Engineering Leaders

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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.

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DevEx

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.

How Amazon's AI playbook is democratizing video ads

Discover the engineering leadership playbook behind Amazon's AI video generator and learn how their customer-centric culture is democratizing video advertising...

DevEx

AI in software development: The complete guide to tools, productivity & real ROI

Learn how 400+ teams use AI in software development to achieve 19% faster cycles and save the equivalent of 71 days. Compare tools, measure impact, maximize...

Workflow

The impact of agentic AI on software engineering roles

Explore how agentic AI is revolutionizing software engineering roles, transforming workflows beyond automation, and shifting the focus from coding to AI system...

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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

Join our community of data-driven dev leaders

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

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