LinearB Blog | Insights and Best Practices for Software Engineering Leaders

The new engineering leader: navigating AI as a core business metric

Lake Dai, a globally recognized AI expert, explains why the modern CTO must adopt the financial acumen of a CFO to manage AI compute costs (30-50% of OpEx) and...

What is the best AI code review tool?

Discover which AI code review tools actually work in production: This controlled benchmark reveals why LinearB's statefulness and signal-to-noise ratio...

Closing the AI gap: How to measure adoption and impact in engineering (without falling into the ROI trap)

Measure AI adoption and impact in engineering with usage visibility, throughput + quality metrics, and credible ROI narratives grounded in delivery data.

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A guild, not a mandate: Superhuman's blueprint for AI success

Superhuman's Loic Houssier shares a blueprint for driving bottom-up AI adoption by overcoming skepticism with a trusted internal champion, fostering an AI...

AI as a value multiplier: a human-centric approach to engineering leadership

Super.com's Matt Culver explains why AI should be used as a value multiplier, not a cost-cutter, advocating for a human-centric approach to engineering...

Vector databases: the essential foundation for reliable AI applications

Pinecone's Ram Sriharsha explains why vector databases are the essential foundation for reliable AI applications, enabling RAG for trustworthy output and...

Enterprise vibe coding: how Salesforce balances speed with governance

Salesforce's Dan Fernandez details the Enterprise Vibe Coding strategy, explaining how to balance the speed of agentic AI with governance by using a Trust...

How Cloudflare adopted MCP and made it enterprise-ready

Cloudflare adopted the Model Context Protocol (MCP) and made it enterprise-ready by using a "customer zero" dogfooding philosophy, leveraging observability as...

The creator of the iPhone keyboard on building transcendent AI

Ken Kocienda, creator of the iPhone keyboard and autocorrect, details his disciplined approach to generative AI and explains how extractive AI and "evolutionary...

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