AI Agents That Run Linear at the Pace Linear Was Built For
AI agents that triage Linear issues in seconds, draft cycle plans, link PRs to issues automatically, and keep the workspace as fast and clean as Linear was meant to feel.
Seconds vs hours, on triage
Engineering teams running an AgentTeams agent on Linear ship more cycles per quarter.
Linear is fast. Your team isn't using it.
Issues pile up untriaged, cycle planning eats half a day, and the same context keeps getting re-typed across issues.
Of issues land unlabeled
Bug reports come in with no team, no label, no priority. Either someone triages or they sit in the inbox forever.
Per cycle on planning
Cycle planning meetings rehash the same issues, the same dependencies, the same estimates, week after week.
Issues without a linked PR
Pull requests ship without their Linear issue updated. The cycle dashboard says incomplete; the code says done.
How it works with Linear
Three steps to an AI team member that works alongside you in Linear.
Connect Linear
Connect your Linear workspace via OAuth. Choose which teams and projects the agent can see.
Match your conventions
Tell the agent your naming patterns, label taxonomy, point scale, and triage rules. It picks up your team's actual playbook quickly.
Let it work
Triage and PR sync can run unattended from day one if you want. Put cycle planning behind approval gates while you build trust; loosen them as confidence grows.
Everything you need for a faster Linear workspace
From triage to PR sync to cycle planning, your AI agent matches Linear's pace instead of slowing it down.
Instant issue triage
Reads new issues, picks the right team, applies labels and priority, sets points based on similar past work, and assigns to the most plausible owner.
Cycle planning support
Ask the agent to pull a cycle's open issues, summarize progress against the target date, or move issues between cycles based on capacity. Your team still owns the plan; the agent handles the busywork of fetching, summarizing, and shuffling.
Cross-tool issue context
Pulls GitHub PRs, Figma files, and Help Scout tickets into the right Linear issue as attachments. Linear's native GitHub integration handles automatic link-and-state-sync on PR merge; the agent handles the judgment work, picking the right issue, summarizing what changed, and routing to the right reviewer.
Issue creation from anywhere
Bug reports from Slack, customer feedback from Help Scout, requests from sales, all become well-formed Linear issues with the right context attached.
Project tracking
Watches projects across teams. Surfaces missed deadlines, dependencies at risk, and projects that haven't been touched in a week.
Workspace search
Find any issue, project, or comment in plain language. 'Bugs filed by enterprise customers in the last cycle' returns a list, not a filter puzzle.
What teams use it for
Concrete examples of Linear agents in production today.
Bug triage at startup speed
Customer files a bug via Help Scout. The agent creates a Linear issue with the right team, labels, and priority, attaches the customer's logs and steps to reproduce, and assigns to the on-call engineer. Time from report to ticket: under a minute.
Linking PRs and external context to issues
Engineer asks the agent to attach a PR, design file, or customer ticket to a Linear issue. The agent files it as a Linear attachment with a clean title and the right summary, surfaces it inline on the issue, and pings reviewers if asked. Linear's native GitHub integration handles the auto-link on PR merge; the agent fills in everything around it.
Cycle health check
Mid-cycle, the agent flags issues at risk: stuck in review more than three days, blocked by issues outside the cycle, missing estimates. Your tech lead spots problems while there's still time to land the cycle on time.
Frequently asked questions
Things people commonly ask before deploying an AgentTeams agent in Linear.
How does the agent connect to Linear?
Through Linear's OAuth flow. The agent gets its own Linear member account with permissions you scope per team. Every action is attributed to the agent in the activity feed.
Will it overlap with Linear's built-in automations?
No, they complement well. Linear's automations are great for deterministic rules, when state changes, do X. The agent handles the judgment work, picking the right team, writing a clean issue title, choosing realistic estimates, that rules can't capture.
What plan does Linear need?
Any paid plan. The agent uses standard Linear API endpoints available on all plans. The free plan works for evaluation but has API rate limits that may slow things down for larger teams.
Can it work across multiple teams?
Yes, multi-team is the default case. The agent can route issues across teams, link cross-team dependencies, and run handoffs. You scope which teams it can touch and what it can do in each.
Does it integrate with our GitHub setup?
Yes, in two layers. Linear's native GitHub integration handles the automatic stuff (PR link, state sync on merge). On top of that, the agent does the judgment work: pulling logs from CI when a PR fails, commenting on stale PRs, summarizing a Figma file or a customer ticket into a Linear comment, deciding which issue a new bug report belongs to. Together, the two cover the deterministic and the contextual parts of the work.
Works well with Linear
Pair your Linear agent with these integrations to cover more of your workflow.
Ready for an AI teammate in Linear?
See how AgentTeams agents work alongside your team in Linear , no engineering required, live in under an hour.
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