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.
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.
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.
The concept of using GPT technology for classifying issues is innovative and has great potential in improving project workflows.
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.
It attempts to help with issue management, but the misclassification often leads to more work for us rather than alleviating it.
Maige's ability to classify issues based on user-defined instructions is fantastic. It allows for a tailored approach to project management.
Sometimes, the auto-labeling doesn't capture the context of certain issues well, leading to incorrect labels. Manual intervention is still necessary.
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.
The interface is clean and straightforward, which is a plus.
The tool is unreliable. It failed to label critical issues correctly, which caused significant delays in our project.
It was supposed to help with issue classification, but instead, it created more problems than it solved. We had to spend extra time fixing mislabels.
I appreciate the automation of repetitive tasks. The ability to label existing issues by command is a huge timesaver.
The learning curve is a bit steep for new users, and I found myself needing more support to fully utilize its features.
It streamlines our issue tracking, which helps in faster resolution times. This has improved our team's overall efficiency.
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