LinearB Blog | Insights and Best Practices for Software Engineering Leaders

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...

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...

Join our community of data-driven dev leaders

LinearB may send you email occasionally about how you can optimize productivity. We will not share your information with anyone. Ever.

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 $19/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...

DevEx

AI-accelerated development: how GitHub is shaping the future of software engineering

Learn how GitHub's Martin Woodward is leading the charge in AI-accelerated development, and how new tools like GitHub Copilot are "tricking" engineering teams...

2 3...45

The Engineering Productivity Platform

Resources

Use Cases

Features

Productivity Research Center

6.1M PRs

< 26 Hrs

13.3%

Resources

Blog

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

AI Measurement Framework: AI Performance, Adoption & ROI Guide

Developer Productivity Isn’t a Black Box. Stop Measuring It Like One.

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

How CloudFlare adopted MCP and made it enterprise-ready

The creator of the iPhone keyboard on building transcendent AI

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

Join our community of data-driven dev leaders

Dialing up determinism: building production-grade AI

Exploring the power of LinearB’s MCP Server

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

Most popular

AI Measurement Framework: AI Performance, Adoption & ROI Guide

Developer Experience Quantified: The Impact on Productivity

Syngenta and LinearB: Six Months Later

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

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

AI-accelerated development: how GitHub is shaping the future of software engineering