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Karri Saarinen
@karrisaarinen
ceo of @linear 🇫🇮🇺🇸 previously: @coinbase @airbnb, YC alumni
1.1K Following    91.7K Followers
Our bug autofix loop in @linear has fixed 300+ bugs in the last 30 days. The team set it up as part of triage: it connects to Datadog and Sentry to investigate issues, then assigns them to Linear’s coding agent to fix
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Over 1000 PRs later, Linear migrated from styled-components to @stylexjs. What began as performance optimization gave us better defaults for humans and agents alike. Our engineer @kenneth_skovhus on what we learned:
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Damn: 160 employees $100M revenue 177% net revenue retention (a customer who spent $100 a year ago now spends $177) Full-remote Basically no emails Obsessed with performance Some of the best engineers I worked with before now work at Linear Linear is 🔥
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Merge status now available on @linear Diffs
New: Merge queue status in diffs See where a PR is in the queue and when it’s expected to merge.
Linear’s "Copy as prompt" is such a quiet power feature. One click and I get the parent issue, comments, attachments, and a clean customizable prompt. I just paste it into a new workspace and the agent already has full context. Really well done @linear.
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What improvements would you like to see in @linear documents and team docs?
80% of the fastest-growing software vendors on this list are @linear customers The next generation of software is being built on Linear.
Our summer fastest-growing vendors list just dropped, and the story is: infrastructure won. Turns out the real AI hype isn't the app, it's what's under it.
In case people missed @charlieaufmann walks through his Linear redesign project work and using @linear agent:
Upgrade on @linear coding sessions (have Linear fix bugs for you). We also clarified pricing: tokens: provider cost, no markup and sandbox: $0.25 / 20 min
Linear's coding sessions now supports custom environments and browser use for testing and screenshots. Configure runtimes automatically with agent, and setup necessary scripts and env vars.
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Are the examples of great products or features that probably wouldn't have existed without having AI to help to build them?
Code diffs and review in @linear getting faster and better day by day
We updated diffs in @linear. You can now preview images, SVGs, and GIFs, compare changes side by side, adjust opacity, and view sources. We’re still pushing to make diff reviews faster and nicer to use. Give it a try we’ve shipped a lot of improvements lately.
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Good look at how we're building products using AI at Coinbase. Trying to adopt AI into the way you used to work is wrong. It may be hard to accept, but the game has changed. You need to update the way that you work.
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Interesting aspect is both user usage is up, and mcp is up. And kind of makes sense that as agents do more work, you can parallelize more, the mcp usage becomes more too. @linear is both destination and source for agents and humans
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This is the first week in @linear's history when issues created through MCP surpassed application created ones. MCP usage is through the roof to put it mildly
Our AI in Design case study featuring @linear is live! A couple things stood out to me right away as we were talking to @karrisaarinen and team about how they use AI in their flow - 1. They go waaay deeper with AI before doing any work that most teams would categorize as “design” though they rightfully see it as a key part of the design process. This means asking AI for info on how a UI came to be, who has worked on it historically, why a certain change might work or not, etc. They really use AI to deeply understand the problem they’re about to tackle. 2. The way they use AI within Linear gives them a crazy advantage. Imagine asking something like: “What designer has touched this feature in the last 5 years and why does it work the way it does?” Good luck getting a good answer for this at most companies. At Linear they have all that context IN Linear… it’s a huge advantage they have and one they utilize to no end. This approach is an incredible way to save unnecessary iterations and ensure you’re building a product that’s moving the company in the right direction. Lots more great insights and examples in the full case study here -
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Live stream @linear agent coding sessions on Slack
New: Linear Agent's coding sessions appear now as live cards in Slack. Follow along as the agent investigates and makes changes. When it’s ready for review, open the diff directly from Slack.
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From our engineering dept: How @ScalaHanSolo automated investigation of slow postgres queries using Linear Loops and @datadoghq
I can't recommend enough to switch your team to @linear Diffs for PR reviews. Their Guide tab is everything that was missing in an agentic-first world Large PRs became easily 2-3x faster to review and digest.
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The reason I love working @linear is that this feature took 0 meetings, 0 RFCs, no A/B testing, no alignment with PM, no cross-team alignment, no H2 planning, no committees, it moved no KPI (as far as I am concerned). It felt good so we built it.
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whoever shipped this to @linear, wow. Insane attention to detail
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Excited to announce that the man the myth the legend @karrisaarinen will be speaking at Lenny & Friends Summit See full lineup here: