LinearB Blog | Insights and Best Practices for Software Engineering Leaders

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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Specialized intelligence in AI applications: bridging research with real-world impact

Elizabeth Lingg from Contextual AI details her methodology for building specialized AI applications, explaining how to bridge the gap between research and...

Dialing up determinism: building production-grade AI

Alex Salazar from Arcade reveals the four "demo killers" that prevent AI agents from reaching production and explains how embracing constraint and determinism...

Exploring the power of LinearB’s MCP Server

Engineering data is only as valuable as your ability to act on it. That’s where LinearB’s Model Context Protocol (MCP) server comes in. It bridges your...

Introducing the next chapter in AI productivity with LinearB’s MCP Server, AI insights, and DevEx surveys

We’re launching the LinearB MCP server, AI Insights dashboard, and DevEx surveys, all included in our $29/mo Essentials plan – tools designed to help you...

The terminal of tomorrow: how AI is transforming the developer experience

Zach Lloyd of Warp argues that the terminal is evolving beyond a simple text interface into an intelligent platform for orchestrating AI agents, shifting the...

Applied machine learning at Shopify: building tools that create real value

Learn how Shopify is moving beyond "vibe testing" to create real value with AI by focusing on rigorous, human-centered evaluation for tools like Sidekick, an...

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