Introduction
What is Linear?
Linear is a modern issue tracking tool designed to streamline project management and software development workflows. It helps teams manage tasks, track bugs, and prioritize work efficiently through a clean, intuitive interface. Ideal for teams looking to enhance productivity and collaboration.
What is CogniVis AI?
CogniVis AI is a platform that enables you to pull data from different
sources and combine them with each other to
create practically useful AI tools. Sources may include
your internal company knowledgebase and a variety of
most popular business apps like GitHub, Jira, Slack,
and more.
This enables you to easily create
AI chatbot assistants (internal),
custom generators and even
embeddable AI chat widgets trained on your data.
How CogniVis AI works with Linear?
The Linear Connector retrieves all Issues, Updates, and related data from the specified projects.
What exact sources are pulled:
- Issues
- Issue title
- Issue description
- Issue URL (link to the issue in Linear)
- Issue status (e.g., To Do, In Progress, Done)
- Issue creation and update dates
- Projects
- Project name
- Project status (e.g., Active, Completed)
- Project URL (link to the project in Linear)
Configuration
Generate a Personal API Key
To connect CogniVis AI with Linear, you need to generate a Personal API Key in Linear. This key will be used to authenticate the connection between CogniVis AI and Linear.
Sign In
Sign into your Linear account.
Navigate to Personal API keys
Go to Workspace settings.
Select API in the left sidebar.
Generate personal API key
Name your API key something like "CogniVis Connector" and click on Create new API key button
Add the connector to CogniVis
Navigate to CogniVis Connectors
In CogniVis, go to Admin Panel, then in the sidebar choose Add connector. You will find the Linear connector setup page there.
Open Linear connector setup pageAdd your Linear API key
Add your Linear API key & click Update button.
Define access
After deciding whether the documents should be public or not, press the connect button.
Free trial
If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.
book a demoOn-premise
Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.
This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.
Contact our team & learn about options of deploying this connector on premise.
book a demo learn more about on-premise aiUse cases
Check out potential benefits and use cases for this connector.
Enhanced Task Management
AI can auto-prioritize tasks by analyzing issue titles, descriptions, and statuses. It can suggest which issues need immediate attention, helping project managers make informed decisions quickly.
Automated Progress Tracking
By monitoring issue statuses and project updates, AI can generate real-time progress reports. This ensures stakeholders are always informed about project advancement without manual updates.
Efficient Resource Allocation
AI can analyze issue descriptions to identify recurring bugs or patterns. This helps development teams address root causes more efficiently, improving software quality.
Contextual Team Notifications
AI can use project statuses and issue data to recommend optimal resource allocation. It can suggest which team members should focus on specific tasks to maximize productivity.
Historical Data Analysis
By integrating with communication tools like Slack, AI can send customized notifications to team members. These alerts can include updates on critical issues or project milestones, ensuring timely responses.
User-Friendly Dashboards
AI can analyze past project data to provide insights on what worked well and what didn't. This can inform future project planning and improve overall workflow efficiency.
Automated Documentation
AI can create intuitive dashboards that visualize issue statuses, project progress, and other key metrics. This provides a clear overview for team leads and stakeholders.
Seamless Integration with Other Tools
AI can generate comprehensive project documentation by compiling data from issue descriptions and updates. This ensures all project details are well-documented without extra effort from the team.
Predictive Analytics
By connecting Linear data with other business apps like GitHub or Jira, AI can provide a unified view of all project-related activities, enhancing cross-platform collaboration.
Workflow Optimization
AI can use historical issue and project data to predict potential bottlenecks or delays. This allows teams to proactively address challenges before they impact project timelines.