Linear

Ship faster when your AI agent manages Linear issues for you

Bug reports, feature requests, and project updates flood your team daily. Your AI agent creates Linear issues from conversations, checks project progress, and keeps stakeholders informed without anyone context-switching away from their actual work.

Chosen by 800+ global brands across industries

Issue tracking powered by conversation

Your AI agent operates Linear like a seasoned project manager, creating issues, updating statuses, and pulling project data so your engineering team stays focused on building.

Linear

Use Cases

Product development scenarios solved

Real situations where AI agents connected to Linear help product and engineering teams move faster while keeping customers in the loop.

Bug Reports That Create Their Own Tickets

A user reports a login error through your support chat. Your AI Agent collects browser details, reproduction steps, and screenshots, then creates a Linear issue assigned to the authentication team with high priority. The customer gets a tracking reference. Your engineering team gets a fully documented bug report without the support-to-engineering handoff delay.

Sprint Progress Updates on Demand

The CEO asks in Slack how the Q2 launch is going. Your AI Agent pulls the Linear project associated with that initiative, tallies completed versus remaining issues across all teams, and delivers a summary with percentages and blockers. A status report that used to take 20 minutes to compile arrives in 10 seconds.

Feature Requests Routed to the Right Team

A customer suggests adding dark mode through your website chat. Your AI Agent checks Linear for duplicate issues, finds none, creates a new feature request with the customer's description, labels it as an enhancement, and assigns it to the frontend team. The request enters your backlog with full context. The customer knows it has been logged and tracked.

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Linear

Linear

FAQs

Frequently Asked Questions

How does the AI agent create issues in my Linear workspace?

The agent uses Linear's Create Issue API, which requires a team ID and title at minimum. During conversation, the agent collects relevant details from the customer, maps them to Linear fields like priority, labels, and description, and creates the issue. You can configure default values for team assignment and labels in your agent settings.

Can the agent check for duplicate issues before creating new ones?

Yes. The agent can search existing Linear issues by title and description keywords before creating a new one. If a similar issue exists, the agent can add a comment to the existing issue with the new customer's context instead of creating a duplicate, keeping your backlog clean.

What Linear OAuth scopes does Tars request?

Tars requests read and write scopes for issues, comments, and projects. Admin scope is optional and only needed if you want the agent to manage teams or labels. You authorize through Linear's standard OAuth flow and can revoke access from your Linear workspace settings at any time.

Does Tars store copies of my Linear issues or project data?

No. All data is fetched from Linear in real time during conversations. Issue details, project progress, and team information are queried live and used only for the active conversation. Tars does not maintain a mirror of your Linear workspace.

Can the agent assign issues to specific team members based on the type of request?

Yes. Configure routing rules in your agent so that backend bugs go to your platform team, frontend issues go to your UI team, and feature requests land with product. The agent uses Linear's user and team data to make accurate assignments during issue creation.

How is this different from Linear's built-in Slack integration?

Linear's Slack integration creates issues from Slack messages. Tars AI Agents hold full conversations, gather structured information, qualify the request, check for duplicates, and then create a properly detailed issue. Plus, Tars works on your website, WhatsApp, and other channels beyond Slack.

Can the agent pull cycle or sprint data from Linear?

Yes. The agent accesses Linear's Cycles API to retrieve active and past cycles for any team. It can report on velocity, completion rates, and which issues rolled over. Useful for managers who want quick sprint summaries without opening the Linear dashboard.

What happens if someone reports an issue for a team that does not exist in Linear?

The agent retrieves available teams from Linear and presents options to the reporter. If no exact match exists, the agent assigns the issue to a default team you configure and flags it for manual triage. No issues get lost due to incorrect team routing.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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