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.
GitOps-enabled folder versioning in Digital.ai Release lets you store and manage all folder content—such as templates, workflows, triggers, connections, and variables—as YAML in a version control system like GitHub, GitLab, Bitbucket, or Azure Repos. This enables a GitOps-style workflow to author, review, and promote changes across Release environments.
You can use the Release Releasefile view to see the current template in Releasefile format.