This topic explains how Digital.ai Release can define a release from a Groovy-based DSL script, that describes all the phases, tasks, and task-groups in the release. This enables you to store release definitions as code in version control and gives you programmatic control over a release when creating it.
This guide explains how to use GitOps-enabled folder version control in Digital.ai Release. With this feature, you can manage the contents of a folder—such as templates, triggers, patterns, and other configuration entities—using a connected Git repository. Versioning allows you to track changes, view commit history, apply previous versions, and keep environments in sync.
You can use the Release Releasefile view to see the current template in Releasefile format.