Integrate Pull Request Quantifier in Slack
with Axolo

Pull Request Quantifier is a powerful GitHub application that offers a highly customizable framework to quantify a pull request within a repository context. It counts pull request changes with high accuracy and uses git history to provide a repository level context to the pull request. With customizations through a yaml file for fine-grained behavior control, the app labels pull requests with a size and posts a comment with an accurate change summary.

The app's primary goal is to encourage developers in your repository to make small changes at a time. This is because small changes matter in several ways: they take less time to review, bugs are more likely to be detected, knowledge is shared efficiently, and releases can be made faster. Additionally, small changes exercise your mind to divide big problems into smaller ones, making them easier to manage.

Overall, Pull Request Quantifier is an excellent tool for any development team looking to optimize their pull request process. By encouraging small changes and providing accurate change summaries, it helps teams work more efficiently and effectively, resulting in faster releases and higher quality code.

- Highly customizable framework to quantify a pull request
- Accurately counts pull request changes
- Provides repository level context to the pull request using git history
- Customizations available through a yaml file
- Labels pull requests with a size
- Posts a comment with accurate change summary
- Encourages developers to make small changes at a time
- Small changes result in faster review times
- Small changes increase the likelihood of detecting bugs
- Small portions of knowledge can be assimilated better
- Small changes lead to faster releases
- Encourages the breaking down of big problems into smaller ones.

The pricing for Pull Request Quantifier is $0 as it is a free to use open source GitHub application.

Integrating Pull Request Quantifier in Slack with Axolo is beneficial because it allows engineers to review code faster and with greater accuracy by providing a repository level context to the pull request and labeling pull requests with a size and accurate change summary. This encourages developers to make small changes at a time, which leads to faster review times, more efficient knowledge sharing, and faster releases to production.