Integrate oortfy in Slack
with Axolo

Oortfy for GitHub is a powerful tool that simplifies the process of previewing changes made to pull requests (PRs) on GitHub. It automatically deploys PRs to Oortfy Cloud, creating a new preview environment for each one. As new commits are pushed to the PR, Oortfy automatically updates the preview environment, allowing you to view the changes in real-time. This feature is particularly beneficial for teams that rely on CI/CD pipelines as it enables them to catch any issues or bugs before they are deployed to production environments.

With Oortfy for GitHub, you can easily preview changes and ensure that they meet your expectations before merging them. It eliminates the need for additional configuration, making the process seamless and hassle-free. The tool is designed to simplify the workflow and reduce the risk of errors or issues that can arise during the development process. By automating the deployment of PRs to Oortfy Cloud, Oortfy for GitHub allows you to focus on what matters most – developing high-quality software that meets the needs of your clients.

List of Oortfy for GitHub features:
- Automatic deployment of pull requests to Oortfy Cloud
- Creation of a new preview environment for each PR
- Automatic deployment of new commits to the preview environment
- Live preview of the PR through a provided URL
- Automatic destruction of preview environment upon PR merge
- Easy preview of changes before they are merged
- Helps catch issues and bugs before they reach production
- Useful for teams relying on continuous integration and deployment pipelines (CI/CD)

Oortfy Free: $0

Integrating Oortfy in Slack with Axolo is beneficial because it allows engineers to review code faster by opening an ephemeral channel for each pull request and inviting the right person to act on the code review, while also automatically deploying pull requests to Oortfy Cloud for live preview without any additional configuration. This ensures that any issues or bugs can be caught before they make it into production environments, making it especially useful for teams that rely on continuous integration and deployment pipelines.