GitLab Duo experiments

The following GitLab Duo features are experiments.

Forecast deployment frequency with Value Stream Forecasting

Tier: GitLab.com and Self-managed: For a limited time, Ultimate. In the future, Ultimate with GitLab Duo Enterprise. GitLab Dedicated: GitLab Duo Enterprise. Offering: GitLab.com, Self-managed, GitLab Dedicated Status: Experiment
History

Improve your planning and decision-making by predicting productivity metrics and identifying anomalies across your software development lifecycle.

Prerequisites:

To view a forecast of deployment frequency in CI/CD Analytics:

  1. On the left sidebar, select Search or go to and find your project.
  2. Select Analyze > CI/CD analytics.
  3. Select the Deployment frequency tab.
  4. Turn on the Show forecast toggle.
  5. On the confirmation dialog, select Accept testing terms.

The forecast is displayed as a dotted line on the chart. Data is forecasted for a duration that is half of the selected date range.

For example, if you select a 30-day range, a forecast for the following 15 days is displayed.

Forecast deployment frequency

Provide feedback on this experimental feature in issue 416833.

Populate an issue with Issue Description Generation

Tier: For a limited time, Ultimate. In the future, Ultimate with GitLab Duo Enterprise. Offering: GitLab.com Status: Experiment
History

Generate a detailed description for an issue based on a short summary you provide.

Prerequisites:

  • You must belong to at least one group with the experiment and beta features setting enabled.
  • You must have permission to view the issue.
  • Only available for the plain text editor.

To generate an issue description:

  1. Create a new issue.
  2. Above the Description field, select GitLab Duo () > Generate issue description.
  3. Write a short description and select Submit.

The issue description is replaced with AI-generated text.

Provide feedback on this experimental feature in issue 409844.

Data usage: When you use this feature, the text you enter is sent to the large language model listed on the GitLab Duo page.