Labels

Moderate AI assistance – AI used to help draft portions of code, tests, or documentation alongside manual work

Significant AI assistance – majority of the work was generated or guided by AI, with human review and refinement

Fully AI-driven – the entire change was generated by AI with minimal human editing

Issues related to the Production Engineering group

AI-powered stage part of the Data Science section

Issues for the Analytics stage of the DevOps lifecycle

Issues for the Anti-Abuse stage of the DevOps lifecycle (e.g. Anti-Abuse)

Issues for the Application Security Testing stage of the DevOps lifecycle (e.g. SAST, DAST)

Issues for the Configure stage of the DevOps lifecycle (e.g. Application Control Panel, Infrastructure Configuration, Operations, Feature Flags, ChatOps)

Issues for the Create stage of the DevOps lifecycle (e.g. Version Control, Code Review, IDE)

Data Access Section label

Data Stores stage https://about.gitlab.com/handbook/product/categories/#data-stores-stage

Label for the data access stage, hosting Gitaly, Git, Database Frameworks, Database Operations, and Durability groups.

Issues for the Deploy stage of the DevOps lifecycle

Label for the Developer Experience stage in Infrastructure Platforms: https://about.gitlab.com/handbook/engineering/quality/quality-engineering/

Issues for the Manage stage of the DevOps lifecycle (e.g. Cycle Analytics)

Issues for the Fulfillment stage of the DevOps lifecycle (e.g. Subscription App, License App)

Issues for the GitLab Dedicated group of the SaaS Platforms section - https://about.gitlab.com/handbook/engineering/infrastructure/team/gitlab-dedicated/

Issues for the GitLab Delivery teams https://handbook.gitlab.com/handbook/engineering/infrastructure-platforms/gitlab-delivery/

Issues for the Govern stage of the DevOps lifecycle