Now
How we built Product Intelligence
Product Intelligence helps teams triage faster with AI-powered suggestions. We designed it to be transparent, trustworthy, and native to Linear.
Giving our team liquidity through Linear’s first tender offer
As part of our Series C, we completed a tender offer that gave current and former teammates the opportunity to sell a portion of their vested options at a $1.25B valuation, the same price offered to our investors.
How Cursor integrated with Linear for Agents
Teams can now assign issues directly to Cursor background agents in Linear. We talked with Cursor PM Rohan Varma about how it works.
Quality Wednesdays: How we trained our team to see what doesn’t work
An offsite exercise turned into a weekly ritual that’s led to more than 1,000 small improvements to Linear—and changed how we build.Changelog
All updates
Our approach to building the Agent Interaction SDK
The Agent Interaction SDK introduces flexible guardrails that let developers build AI agents as first-class users.
Inside Mercury’s six-month journey building with AI agents
This past March, Mercury held an internal hackathon and Matt Russell knew exactly what he wanted to work on.
Building our way: Announcing our Series C
We’ve raised an $82M Series C at a $1.25B. We could write the usual post about how excited we are for what’s next — but I won’t. The truth is, not much changes after a raise. We go back to building.
Why is quality so rare?
The modern world has made huge advances in knowledge, technology, and skill. We can build faster than ever. Yet quality still feels so rare. So many things feel unfinished, or forgettable – why?
Design for the AI age
Building what customers need, not just what they ask for
The profitable startup
Why and how Scale migrated to Linear
Simplifying support at scale: How Pleo uses Linear Asks
How we built multi-region support for Linear
Press
Customer stories
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