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Maige

Maige

Maige leverages AI technology to automatically categorize issues in your repository, streamlining issue management.

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About Maige

Maige uses advanced AI to analyze your repository and automatically assign labels to incoming issues, saving you time and effort. Currently, its primary function is issue labeling. Easily add Maige to your repository with a free trial. New issues are labeled automatically, and you can manually label existing issues by commenting "Maige label this." To label all past issues, comment "Maige label all." Customize labeling instructions by commenting "Maige [instructions]."

How to Use

Integrate Maige into your repository to enable automatic issue labeling. Use the command "Maige label this" on an issue to label it. To label all previous issues, comment "Maige label all." For custom labeling instructions, comment "Maige [instructions]."

Features

  • Supports custom labeling instructions
  • Automatically labels new issues using AI
  • Enables bulk labeling of existing issues

Use Cases

  • Streamlining issue categorization and prioritization in GitHub repositories

Best For

Open-source project maintainersProject managersSoftware development teamsRepository administratorsIssue triage specialists

Pros

  • Reduces time spent on manual issue labeling
  • Simple setup and user-friendly interface
  • Allows tailored labeling instructions
  • Available for free trial

Cons

  • Limited to issue labeling functionality at present
  • Performance relies on repository data quality

FAQs

What is Maige and how does it work?
Maige uses AI to automatically analyze your repository and assign labels to new issues.
How can I label an existing issue?
Comment "Maige label this" on the issue to apply labels automatically.
How do I label all previous issues?
Comment "Maige label all" on any issue to label all past issues.
Can I customize labeling rules?
Yes, comment "Maige [instructions]" to specify custom labeling guidelines.
Is Maige free to use?
Yes, Maige offers a free trial to get started with automated issue labeling.