AI assistant for Linear — issues and standups from chat

Linear is where the engineering work is tracked, but the tracking itself is friction — filing the issue, tagging it, dropping it in the right project, and keeping status honest through the cycle. Bugs get reported in a Slack thread and die there. Arlo connects to Linear as an AI colleague that handles the overhead: it turns a message into a well-formed issue, triages the backlog, keeps priorities straight, and tells you what actually shipped — without you tabbing over to the board.

You describe the work in Slack, iMessage, Microsoft Teams, or on a call — "file a P1 for the checkout 500, assign it to me, tag it auth" — and Arlo creates it in Linear and reports back.

What Arlo does in Linear

• Files issues from context. Turn a bug report in a Slack thread into an issue with a clear title, reproduction steps, description, labels, and the right project — no copy-paste, no lost detail.
• Triages the backlog. Set priority, assign an owner, apply labels, move an issue to the right team or project, and close duplicates so triage doesn't rot.
• Plans and runs cycles. Pull unestimated issues into the current cycle, flag work that won't fit the sprint, surface issues with no assignee, and rebalance load across the team.
• Links issues to code. Connect an issue to its GitHub PR, update status when the PR merges, cross-reference related issues, and keep the "in progress → in review → done" flow honest instead of manual.
• Summarizes for standups and reviews. "What shipped this cycle?", "what's blocked?", or "what changed on the launch project since Friday?" — Arlo reads Linear and hands back a tight rollup.

Real engineering-team scenarios

What delegating Linear to a colleague looks like day to day:

• A customer bug lands in #support. You mention Arlo; it opens a Linear issue with the repro steps from the thread, tags it, sets priority, drops it in the right project, and links back to the conversation — all held for a reviewer to confirm.
• Cycle planning Monday. Arlo lists every unestimated issue in the backlog, flags the three that clearly won't fit this sprint's capacity, and proposes what to pull in, so planning is editing a draft instead of staring at the board.
• Every weekday at 9am, Arlo posts a standup summary to #engineering: what moved to Done since yesterday, what's in review, and which P1s are still open — you approve the format once and it runs on its own.
• A PR merges. Arlo moves the linked issue to Done, updates the cycle burndown context, and notes it in the shipped list so the cycle review writes itself.
• A stakeholder wants a status update. You ask on a call; Arlo reads the project, tells you which milestones are on track and which are slipping, and offers to file the follow-up issues right there.

Working across your stack

The point isn't one issue — it's the chain. Arlo can open a Linear issue, comment on the matching GitHub PR, and post the update to Slack in a single request, because it's one assistant across the whole toolchain of 3,000+ integrations. Its persistent memory means an issue you discussed yesterday still has context today, and the morning briefing tells you what changed in your cycles and projects overnight, wherever you read it.

Governed by default

An assistant reshuffling your board unsupervised is a nightmare, so every write runs on a leash. The Linear connection resolves through policy before a run, anything that creates, moves, or edits an issue waits for a reviewer you choose, and every status change, label edit, and assignment lands in a full audit trail. For anything Linear's API doesn't expose, Arlo signs in once through a secure browser session and operates the interface by hand — under the same approvals. You get fast issue hygiene without ceding control of the sprint. Compare Arlo vs Lindy, or browse more use cases.

If the problem is less about the tracker and more about the chasing around it — status nobody updated, cross-team dependencies, the standup that became a meeting — see AI agent for project management.

Frequently asked questions

What can an AI assistant do in Linear? File issues from context with repro steps and labels, triage the backlog by setting priority, assignee, and project, plan and rebalance cycles, link issues to their GitHub PRs, and summarize what shipped, what's blocked, and what changed — asked from Slack, iMessage, Microsoft Teams, or a call.

Can it turn a Slack thread into a Linear issue? Yes — that's one of the most common uses. Mention Arlo in the thread and it opens an issue with the reproduction steps carried over, tags it, sets priority, drops it in the right project, and links back to the conversation, held for a reviewer to confirm.

Will it change issues without approval? No. Every write — filing, re-prioritizing, reassigning, closing — waits for a reviewer you choose. Reads are immediate, so asking "what's blocked?" answers straight away.

Can it post our standup automatically? Yes. It can post a daily summary to your engineering channel — what moved to Done, what's in review, which P1s are still open. You approve the format once and it runs on a schedule.

Does it keep Linear in sync with GitHub? It can connect an issue to its PR and move the issue's status when the PR merges, so the "in progress → in review → done" flow stops being manual.

Can I see everything it changed? Yes. Every issue write and status change lands in a full audit trail tied to the request that caused it.

Try Arlo with Linear

Put an AI colleague on your Linear workspace that files issues, triages the backlog, plans cycles, and writes your standup — with approvals and an audit trail on every write. Arlo starts free — $100 in credits for connecting Slack — then runs on prepaid credits at 400 per $1. Get started and connect Linear in a couple of minutes.