Maige
2.80
0
Maige automates issue labeling and classification in GitHub using GPT technology for streamlined project management.
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:
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Connect Your Repo: Initiate Maige by connecting it to your repository, which generates a webhook, codebase embeddings, and a sandbox environment.
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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.
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Watch It Run: Guide your community on using the workflows, monitor runs, and provide feedback using the dashboard.
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Integration: Maige seamlessly integrates with GitHub, leveraging the GitHub API for functionality.
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Customization: Maige is highly customizable, enabling automatic issue labeling, assignment, review, and more based on your specific requirements.
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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.
Pros
- Integration with Github
- Classifies and labels issues
- Free to try
- Automatic labeling of new issues
- Ability to label existing issues
- Batch labeling option
- Option for custom instructions
- Use of GPT technology
- Developed by experienced developer
Cons
- Only labels issues
- Limited GitHub integration
- Manual initiation required
- Limited customization
- Unclear premium features
- No specifications on accuracy
Maige Pricing and plans
Paid plans start at $30.00/month and include:
- Auto-labelling
- Auto-assignment
- Auto-comments
- Custom instructions
- Code review
- Code generation
Maige FAQs
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What is Maige?
- Maige is an AI tool specialized in classifying and labeling issues within software projects.
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Does Maige use GPT technology?
- Yes, Maige uses GPT technology as the primary mechanism for classifying and labeling issues.
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Which platforms does Maige integrate with?
- Maige integrates with GitHub, allowing users to utilize its issue labelling capabilities within GitHub repositories.
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Is Maige free to try?
- Yes, Maige is free to try as mentioned on their website.
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Are there premium features or paid plans available for Maige?
- Although Maige is initially free to try, there may be premium features or paid plans available, but specific details are not provided.
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How can Maige label new issues automatically?
- To label new issues automatically with Maige, users need to enable Maige within their GitHub repository, and it will automatically classify and label any new issues that arise.
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How can I get Maige to label existing issues?
- Maige can label existing issues when a user comments 'Maige label this' within the specific issue on their GitHub repository.
Get started with Maige
Maige reviews
Budi Santosa
December 22, 2024
What do you like most about using Maige?
I like that Maige simplifies the labeling process in GitHub by automating tasks I used to do manually. The integration with GitHub is seamless, making it easier to keep track of issues.
What do you dislike most about using Maige?
The documentation is quite limited, which made it difficult to set up some custom instructions for labeling. I had to rely on trial and error to get it right.
What problems does Maige help you solve, and how does this benefit you?
It helps me save time by auto-labeling issues based on their content. This allows my team to prioritize tasks more efficiently, but I do wish the tool was more intuitive.
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Siti Rahmawati
December 1, 2024
What do you like most about using Maige?
Maige's ability to classify issues based on user-defined instructions is fantastic. It allows for a tailored approach to project management.
What do you dislike most about using Maige?
Sometimes, the auto-labeling doesn't capture the context of certain issues well, leading to incorrect labels. Manual intervention is still necessary.
What problems does Maige help you solve, and how does this benefit you?
It helps reduce the backlog of unlabelled issues in our GitHub repository, making it easier for us to manage and prioritize them. This boosts our overall productivity.
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Andi Prabowo
December 6, 2024
What do you like most about using Maige?
The concept of using GPT technology for classifying issues is innovative and has great potential in improving project workflows.
What do you dislike most about using Maige?
Unfortunately, the tool frequently mislabels issues, which can lead to confusion among the team. There should be a way to review labels before they are applied.
What problems does Maige help you solve, and how does this benefit you?
It attempts to help with issue management, but the misclassification often leads to more work for us rather than alleviating it.
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