Linear Bug Auto-Classification and Team Assignment Workflow

This workflow utilizes the Linear task management system and OpenAI's GPT-4 model to automatically classify newly submitted bugs and intelligently assign them to teams. By automatically filtering tasks and matching them with team responsibilities, it ensures that bugs are quickly allocated to the appropriate team for resolution. If the AI is unable to make a determination, the system will automatically send a Slack notification to prompt human intervention, significantly improving the efficiency and accuracy of task handling while reducing the need for manual intervention.

Workflow Diagram
Linear Bug Auto-Classification and Team Assignment Workflow Workflow diagram

Workflow Name

Linear Bug Auto-Classification and Team Assignment Workflow

Key Features and Highlights

This workflow leverages the Linear task management system and OpenAI’s GPT-4 model to automatically classify newly submitted Bug tasks and intelligently determine the responsible team. It automatically filters Bugs that require classification, performs smart matching based on team responsibility descriptions, and assigns the task to the appropriate team. If the AI cannot determine the suitable team, it sends a Slack notification to prompt manual intervention.

Core Problems Addressed

Traditional Bug task assignment relies heavily on manual judgment, which is time-consuming and prone to errors. This workflow automates and enhances classification with AI assistance, reducing manual workload, improving assignment accuracy and efficiency, and ensuring Bugs are promptly routed to the right team for resolution.

Application Scenarios

Ideal for technical teams using Linear as their project and task management tool—especially larger teams with clearly defined responsibilities that need to efficiently handle a high volume of Bug reports and task assignments within R&D departments.

Main Process Steps

  1. Linear Trigger: Listens for new Bug tasks created by specified teams in Linear to trigger the workflow.
  2. Filter Tickets Needing Classification: Filters Bugs that require classification (with specific labels, non-empty descriptions, and in “To Be Classified” status).
  3. Set Me Up: Predefines the list of teams and their responsibility scopes, and configures the Slack notification channel.
  4. OpenAI Invocation: Sends the Bug task title and description to GPT-4, combining it with preset team responsibility descriptions to automatically identify the most suitable handling team.
  5. Get All Linear Teams: Retrieves all team information via the Linear API to prepare for updating the task’s team field.
  6. Merge Data & Check AI Results: Integrates AI output and verifies whether a specific team match was found.
  7. Set Team ID & Update Team: Updates the Bug task in Linear to assign it to the identified team.
  8. Notify in Slack: If AI cannot determine an appropriate team, automatically sends a message to the designated Slack channel to alert for manual intervention.

Involved Systems and Services

  • Linear: Task management and data source providing Bug tasks and team information.
  • OpenAI GPT-4: Natural language processing engine enabling intelligent matching between task content and team responsibilities.
  • Slack: Instant messaging platform used for exception alerts and notifications.
  • n8n: Automation workflow platform responsible for orchestrating the entire process and executing workflow nodes.

Target Users and Value

  • Technical Team Managers and Project Leads: Easily achieve intelligent Bug classification and assignment, enhancing team collaboration efficiency.
  • R&D Team Members: Reduce repetitive manual task assignments and quickly receive Bug tasks that need attention.
  • DevOps and Automation Engineers: Can configure and extend the workflow directly within existing Linear and Slack environments, improving operational automation.
  • Any Team Using Linear for Task Management Seeking AI-Driven Process Optimization.

By implementing this workflow, teams can significantly reduce manual classification costs, accelerate Bug resolution speed and accuracy, and realize intelligent upgrades to their R&D processes.