Maige

What is Maige?

Maige is an open-source infrastructure designed for running natural language workflows on codebases. It is used for classifying and labeling issues within software projects using GPT technology. Maige integrates specifically with GitHub repositories, providing features such as automatic labeling of new issues, the ability to label existing issues by command, custom instructions for labeling, and classification of issues based on user instructions. The tool is developed by Ted Spare and utilized by organizations such as Highlight.io, PrecedentCal.com, and Trigger.dev. Maige offers a free trial with potential premium features and paid plans, though the specific details of these offerings are not provided in the available information.

Who created Maige?

Maige was created by Ted Spare. It was launched on March 27, 2023, as an AI tool specializing in classifying and labeling issues within software projects, primarily using GPT technology. Maige integrates with GitHub and is used by organizations like Highlight.io, PrecedentCal.com, and Trigger.dev. The tool is designed to automate issue labeling and provides various capabilities like auto-labelling, auto-assignment, auto-comments, custom instructions, code review, and code generation under different pricing plans.

What is Maige used for?

• Classifying and labeling issues within software projects
• Automatically labeling new issues in GitHub repositories
• Labeling existing issues by commenting 'Maige label this'
• Monitoring and providing feedback on workflows through a dashboard
• Integration with GitHub for issue management
• Running natural language workflows on codebases
• Assigning, commenting, and reviewing code based on rules specified by users
• Automatically spinning up a code sandbox environment
• Customizing workflows with text-based rules
• Flexible operation with the GitHub API
• Automatically label new issues in GitHub repositories
• Assign tasks based on specified rules for issues and PRs
• Comment on issues and PRs within GitHub repositories
• Review code in GitHub repositories
• Run simple code snippets based on predefined rules
• Label UI-related issues to specific users
• Label .env PRs as 'needs-approval'
• Review all incoming PRs based on CONTRIBUTING.md guidelines
• Customize workflows using text instructions
• Create a code sandbox environment for testing purposes

Who is Maige for?

• Software developers
• Software engineers
• GitHub users

How to use Maige?

To use Maige, an AI tool for classifying and labeling issues in software projects, follow these steps:

1. Connect Your Repo: Initiate Maige by connecting it to your repository, which generates a webhook, codebase embeddings, and a sandbox environment.

2. Write Your Rules: Describe the actions for issues and pull requests. Maige can label, assign, comment, review, and run code snippets as per your rules.

3. Watch It Run: Guide your community on using the workflows, monitor runs, and provide feedback using the dashboard.

4. Integration: Maige seamlessly integrates with GitHub, leveraging the GitHub API for functionality.

5. Customization: Maige is highly customizable, enabling automatic issue labeling, assignment, review, and more based on your specific requirements.

6. Pricing: Initially, you can try Maige for free. Later, you can opt for the Standard Plan at $30.00 USD/month, offering features like auto-labeling, auto-assignment, code review, and more.

Remember, Maige simplifies issue management by automating labeling, assignment, and other tasks using GPT technology. For specific actions like automatic labeling of new issues or labeling existing issues, Maige operates effectively within GitHub repositories.