Maige – Survto AI
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Maige
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Coding issues labeling (1)

Maige

Issue labeling & classification for software projects.

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Starting price From $1

Tool Information

Maige is an AI tool designed to classify and label issues. With its primary function being issue labeling, Maige utilizes GPT technology for this purpose. Currently, there are no other stated features or functionalities provided by Maige. The tool offers integration with GitHub, where users can add it to their repository and explore its capabilities. It is mentioned that Maige is free to try, implying that there may be premium features or paid plans available.To label new issues automatically, users can simply enable Maige within their repository. For existing issues, users can initiate labeling by commenting "Maige label this." Additionally, there is an option to label all old issues by commenting "Maige label all." Maige also allows for custom instructions to be added through the use of the command "Maige [instructions]."Highlight.io, PrecedentCal.com, and Trigger.dev are mentioned as organizations that use Maige. It is unclear how these organizations utilize the tool or what benefits they attain from it.Maige is developed by Ted Spare and has an associated GitHub repository. Further details regarding the specific use cases, accuracy, or limitations of Maige are not provided within the given text.

F.A.Q (17)

Maige is an AI tool specialized in classifying and labelling issues within software projects. It operates primarily through GPT technology for issue labeling.

The primary function of Maige is to classify and label issues within software projects. As an AI tool, it uses GPT technology to help automate and manage the process of issue labeling in these projects.

Yes, Maige uses GPT technology as the primary mechanism for classifying and labeling issues.

Maige integrates with GitHub. It allows users to add it to their GitHub repositories and utilize its issue labelling capabilities within these repositories.

You can add Maige to your GitHub repository by following the link provided on their website, which leads to 'https://github.com/apps/maige-bot'.

Yes, Maige is free to try as mentioned on their website.

Though it is explicitly stated that Maige is free to try, it implies that there may be premium features or paid plans available. However, the specific details about these paid plans and premium features are not provided.

To label new issues automatically with Maige, users simply need to enable Maige within their GitHub repository. Once enabled, it will automatically classify and label any new issues that arise.

Maige can label existing issues when a user comments 'Maige label this' within the specific issue on their GitHub repository.

Yes, to label all old issues, users can comment 'Maige label all'. Once this command is input, Maige will proceed to label all the existing issues within the user's GitHub repository.

Custom instructions can be added to Maige by using the command 'Maige [instructions]'. This feature enables users to give more specific instructions for issue labeling to Maige.

Highlight.io, PrecedentCal.com, and Trigger.dev are organizations known to use Maige. However, the specific utilization and benefits they receive from the tool are not provided.

Maige was developed by Ted Spare.

Yes, there is a GitHub repository associated with Maige. The link to it can be found on their website.

Based on its description, Maige specifically integrates with GitHub. Whether it can work with other repositories apart from GitHub is not explicitly stated.

While Maige is known for its issue labeling, it is also designed to classify issues. Therefore, in addition to labeling, Maige could also classify issues depending on the specific instructions given.

The specific operational details about how Maige utilizes GPT technology for issue labeling are not detailed on their website. However, given that Maige uses GPT technology in its central operation, it can be inferred that it leverages this technology's capabilities of text generation and understanding context to classify and label issues accurately.

Pros and Cons

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
  • Unexplained usage by organizations
  • No API offered
  • Unclear payment model
  • Single developer

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