Integrate Pull Request Auto Labeler in Slack
with Axolo

Pull Request Auto Labeler is a GitHub application built with Probot that automates the process of labeling pull requests based on their title and body. This application uses a list of predefined labels to match with the text in the title and body of the pull request. By adding a pr-labeler.yml configuration file to the repository's .github directory, users can customize the labels to be applied to their pull requests. The configuration file allows users to specify whether the text and labels should be treated as case sensitive or not, and whether to search the body or title of the pull request for the text. Additionally, users can choose to search for whole words only. The bot always updates the labels, add/remove as necessary. This application is especially useful for teams who manage a large number of pull requests and want to streamline their labeling process. With Pull Request Auto Labeler, users can save time and ensure that their pull requests are properly labeled, making it easier to track and manage them.

- Automatically labels pull requests based on title and body against a list of defined labels
- Uses a pr-labeler.yml configuration file to define settings
- Allows for custom labels to be added to the PR
- Can search for specific text in the PR title and body to apply the appropriate label
- Can search the body and/or title of the PR for the specific text
- Can be set to treat the text and labels as case sensitive or insensitive
- Can be set to search for whole words only
- Has an option to always replace labels, add/remove as necessary.

The pricing for Pull Request Auto Labeler is free, with no hidden fees and no missing features, costing $0.

Integrating Pull Request Auto Labeler in Slack with Axolo can help engineers to easily identify and prioritize pull requests that require their attention by automatically labeling PRs based on their title and body, thus saving them time and effort in the code review process.