Linear Agent
Synthesize context, makes recommendations, and takes action.
218 followers
Synthesize context, makes recommendations, and takes action.
218 followers
Introducing Linear Agent. Built directly into Linear and accessible everywhere, it understands your roadmap, issues, and code. Ask anything. Command everything.
Launch Team
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Promoted
Linear just shipped an agent built directly into the product.
It understands your roadmap, issues, and code, and helps you act on that context without manually digging through threads, backlogs, and customer requests.
A few things worth knowing:
Ask it to find related issues, group them, and pull them into a new project — instead of doing that research yourself
Works across desktop, mobile, Slack, and Teams — accessible via @Linear in any comment or the chat shortcut (Cmd/Ctrl + J)
When a workflow works well, save it as a reusable skill and run it again manually or automatically
Triage automations let you trigger agent workflows the moment a new issue comes in (Business and Enterprise plans)
The underlying idea is straightforward: your workspace already has most of the context needed for good product decisions. Linear Agent just makes it accessible.
Congrats on the launch! As a solo dev who is always context-switching, this looks incredibly useful. Quick question: how does the AI handle conflicting priorities if I have multiple urgent tickets across different projects? Would love to know how the logic works under the hood!
Really like this approach
The idea that the context already exists and just needs to be surfaced is powerful. From what I’ve seen, the real challenge usually comes after that, making sure those workflows actually run consistently without breaking.
How reliable are the saved “skills” when reused across different scenarios?
Curious how "synthesizes context" works in practice - is it pulling from linked issues, comments, git commits? The "takes action" part is what I'm most interested in. What actions can it actually take autonomously vs what still needs human approval?
finally, an AI agent that actually understands the full context instead of just individual tickets. curious how deep the code integration goes - can it suggest which issues to prioritize based on actual implementation complexity?
the reusable skills part is what caught my eye here
feels like that’s where this either becomes genuinely useful or just another assistant people try a few times
how are teams deciding which workflows are worth turning into skills vs just using ad hoc?
Interesting! Can another agent talk to the Linear Agent asking it for context?