Can it open pull requests too?

That is the GitHub half of the same workflow — Linear holds the ticket, GitHub holds the code, and the agent moves between them. The Auto Issue Resolution case study shows both halves running together in production.

What stops it from spamming the backlog?

Rate limits on the agent and human approval on issue creation. An agent that can open issues unsupervised will eventually open a great many of them, most of which nobody reads. Drafting into a review queue works better than direct creation.

Issue tracking · Integration

Alian AI for Linear

Agents that triage, draft, and close issues — with humans approving.

Linear is the modern dev-team substrate. We build agents that auto-triage inbound bug reports, draft fixes through Claude Code, open PRs against your repos, and update Linear issues with the full reasoning trace.

Scope an integration →Try our AI on your problem ↑

Things we've built on Linear

Auto-issue resolution (see the Claude Code case study)
Sprint planning assistance from velocity + backlog signals
Automated ticket triage and classification

How the integration actually works

Linear's API is GraphQL only, with no REST surface. That turns out to be an advantage: the schema is strongly typed and introspectable, so agent tool definitions can be generated from it rather than hand-written and left to drift. Webhooks push issue events out, the agent reads context and decides, then writes back as comments, state changes, or new issues under a scoped key.

What to watch for on Linear

The constraints that decide whether this ships in weeks or drags — worth knowing before you scope, whoever builds it.

Triage is judgement, not classification: Auto-labelling is easy. Deciding priority is not, because priority depends on context the tracker does not hold — which customer reported it, what shipped last week. Agents draft a triage well and own one badly. Keep a person on the accept button.
Keep the write surface narrow: An agent that can comment and label is low-risk. One that can close issues or change priority can quietly hide work from the team. Start with additive writes only, and widen the permissions once the output has earned it.
GraphQL means fewer surprises: Because the schema is introspectable, tool definitions stay in sync with the API instead of rotting silently between releases. This is one of the few integrations where the platform's design actively reduces long-term maintenance.

Questions we get about Linear

Can it open pull requests too?: That is the GitHub half of the same workflow — Linear holds the ticket, GitHub holds the code, and the agent moves between them. The Auto Issue Resolution case study shows both halves running together in production.
What stops it from spamming the backlog?: Rate limits on the agent and human approval on issue creation. An agent that can open issues unsupervised will eventually open a great many of them, most of which nobody reads. Drafting into a review queue works better than direct creation.