Integrate gitStream by LinearB in Slack
with Axolo

GitStream by LinearB is a GitHub application that aims to streamline code review processes for development teams. With a quick 5-minute installation, GitStream saves teams countless hours in code review by adding context to every pull request, automatically assigning the right reviewer and number of reviewers, and automating PR approvals and merges. It also offers code review automation that auto requests changes, making the process more efficient.

To get started with GitStream, users simply need to install it for free on the GitStream website, add two files to their repository, and open a pull request. GitStream is secure, as the source code is scanned within the repository and is not shared with external services. Only metadata that affects the workflow is shared to allow for rule-based automation.

One of the key differences between GitStream and GitHub Actions is that GitStream is an off-the-shelf, turnkey solution to the problems it aims to solve. It is currently closed source but is planning to open up the tool once it matures. Overall, GitStream provides a simple and efficient way for development teams to streamline their code review processes and save time.

- 5-minute install
- Shortens pull-request reviews by 40%
- Adds context to every PR, like Estimated Time to Review
- Automatically assigns the right reviewer and number of reviewers to PRs
- Code review automation that auto requests changes
- Automates PR Approvals & Merges
- Requires permissions to install GitHub applications in your repos
- Code is secure
- Can add your own rules by editing the .cm file
- gitStream is an off-the-shelf, turnkey solution to the problems we’re trying to solve.

The pricing for gitStream by LinearB's free plan is $0.

Integrating gitStream by LinearB in Slack with Axolo would be beneficial because it would save time and streamline the code review process. With gitStream's automation features, such as automatically assigning the right reviewer and number of reviewers to PRs, and automating PR approvals and merges, the code review process would be more efficient. Additionally, the context added to each PR, like Estimated Time to Review, would provide valuable information to the reviewer, further enhancing the process.