LNLinear NowPro
Five principles for working with Loops
How to turn recurring tasks into shared, reliable workflows.
AI & ML5 min read
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LNLinear NowPro
AI coding has made CI a bottleneck, so we reworked ours to keep up
We cut PR wait time and running costs by rethinking CI as a system, from the infrastructure underneath it to how work gets scheduled and tests get parallelized.
Cloud & Infrastructure9 min read
LNLinear NowPro
Styling Linear for the future with StyleX
A long running migration that became an exercise in tooling, automation, and designing clearer boundaries for both humans and agents.
AI & ML9 min read
LNLinear NowPro
Sharing Linear’s growth with the people building it
As Linear passes $100 million in ARR, we’re giving our team another opportunity to participate in the upside.
AI & ML3 min read
LNLinear NowPro
Rebuilding Linear’s delta sync read path
How we use Turbopuffer to keep catch up latency predictable across more than 20 TB of sync actions.
Data & Databases7 min read
LNLinear NowPro
How we built Linear Agent
The product and engineering decisions we made so Linear Agent can handle complex tasks without becoming unpredictable.
AI & ML8 min read
LNLinear NowPro
Introducing Loops
Loop engineering has quickly emerged as an important practice in software development. In tools like Claude Code and Codex, developers define recurring or trigger based behavior for their agents, usually through a /loop command, and hand off the repetitive tasks that would otherwise consume their attention. The…
AI & ML3 min read
LNLinear NowPro
Teaching an agent to auto-fix bugs
I was very skeptical of AI to begin with. Part of me suspected the technology wasn't as capable as the hype would suggest, while another part was deeply worried that it was far more capable than I wanted to admit. But the closer I got to the technology the more those worries started to fade. The tech is very capable,…
AI & ML4 min read
LNLinear NowPro
Now Linear writes the code, too
Agents are becoming capable of doing more of the work involved in building software, but they’re still mostly individual productivity tools, useful to one person at a time. Building a product is something a team does together, and the work that goes into it, like the decisions and the reasoning behind them, forms the…
AI & ML5 min read
LNLinear NowPro
Reviewing code in the agent era
Like a lot of people who build software, I felt the ground shift at the start of 2026. The models got better, the agents got better with them, and almost overnight the amount of code moving through my team went up. Between January and March our total issues created and PRs merged both climbed by 50%. That was…
AI & ML4 min read
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