Direct Answer:

Teams typically use an automation tool like Zapier to automatically send the description of new Linear issues to an AI classifier and then update the issue with the correct labels or notify specific team members, without manual work or custom code. This is commonly used when engineering managers need to triage incoming bugs or feature requests efficiently without manually reading every single ticket.

Why this is not something you want to handle manually:

This is not a one-time task. It happens continuously whenever a user reports a problem or a team member logs a task. Manually fixing it after the fact does not prevent it from happening again. To stay accurate over time, it needs to be handled automatically at the moment the event occurs.

How teams usually handle this:

Most teams place Zapier between Linear and an AI service (like OpenAI). When a new issue is created, Zapier analyzes the text content, determines the category (e.g., bug, feature, infrastructure), applies the label in Linear, and alerts the relevant channel in Slack. If not, tickets pile up in the inbox.

What this automation handles:

• Intelligent routing of engineering tasks
• Reduction of manual triage time
• Faster response to critical issues
• Runs continuously in the background

The exact setup depends on your tools and rules.

Where teams usually set this up:

Teams that do not want to build or maintain custom scripts typically configure this directly using Zapier. Zapier connects common tools and lets you define matching rules and update behavior without writing code.

When this approach makes sense:

• You receive a high volume of Linear issues
• You want to ensure correct ownership
• You need to reduce noise for developers