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window: 3# Can be 1, 2, or 3 - The window when the breaking change will be deployed on GitLab.com
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# Use the impact calculator https://gitlab-com.gitlab.io/gl-infra/breaking-change-impact-calculator/?
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impact: high # Can be one of: [critical, high, medium, low]
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scope: # Can be one or a combination of: [instance, group, project]
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resolution_role: Developer # Can be one of: [Admin, Owner, Maintainer, Developer]
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manual_task: true # Can be true or false. Use this to denote whether a resolution action must be performed manually (true), or if it can be automated by using the API or other automation (false).
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body: | # (required) Don't change this line.
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Starting in GitLab 18.0, the internal process that releases CI/CD components to the Catalog will be changed.
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If you use the [recommended CI/CD component release process](https://docs.gitlab.com/ee/ci/components/#publish-a-new-release), which makes use of the `release` keyword and the `registry.gitlab.com/gitlab-org/release-cli:latest` container image, you do not need to make any changes.
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The `latest` version of this container image (`v0.20.0`) contains [GLab](https://gitlab.com/gitlab-org/cli/) `v1.50.0`, which will be used for all releases to the CI/CD Catalog in GitLab 18.0 and later.
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In other cases:
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- If you need to pin the container image to a specific version, use `v0.20.0` or later (`registry.gitlab.com/gitlab-org/release-cli:v0.20.0`),
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to ensure GLab is available for the release process.
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- If you've manually installed the Release CLI tool on your runners, you must install GLab `v1.50.0` or later on those runners.
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# ==============================
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# OPTIONAL END-OF-SUPPORT FIELDS
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# ==============================
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#
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# If an End of Support period applies:
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# 1) Share this announcement in the `#spt_managers` Support channel in Slack
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# 2) Mention `@gitlab-com/support` in this merge request.
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#
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# When support for this feature ends, in XX.YY milestone format.
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end_of_support_milestone:
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# Array of tiers the feature is currently available to,
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# like [Free, Silver, Gold, Core, Premium, Ultimate]
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tiers:
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# Links to documentation and thumbnail image
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documentation_url:
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image_url:
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# Use the youtube thumbnail URL with the structure of https://img.youtube.com/vi/UNIQUEID/hqdefault.jpg
| <a id="mutationbranchdeleteclientmutationid"></a>`clientMutationId` | [`String`](#string) | A unique identifier for the client performing the mutation. |
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| <a id="mutationbranchdeletename"></a>`name` | [`String!`](#string) | Name of the branch. |
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| <a id="mutationbranchdeleteprojectpath"></a>`projectPath` | [`ID!`](#id) | Project full path the branch is associated with. |
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#### Fields
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| Name | Type | Description |
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| ---- | ---- | ----------- |
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| <a id="mutationbranchdeletebranch"></a>`branch` | [`Branch`](#branch) | Branch after mutation. |
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| <a id="mutationbranchdeleteclientmutationid"></a>`clientMutationId` | [`String`](#string) | A unique identifier for the client performing the mutation. |
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| <a id="mutationbranchdeleteerrors"></a>`errors` | [`[String!]!`](#string) | Errors encountered during execution of the mutation. |
Copy file name to clipboardExpand all lines: doc/update/breaking_windows.md
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|[`ciJobTokenScopeAddProject` GraphQL mutation is deprecated](https://gitlab.com/gitlab-org/gitlab/-/issues/474175)| Low | Govern | Project |
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|[Guest users can pull packages from private projects on GitLab.com](https://gitlab.com/gitlab-org/gitlab/-/issues/336622)| High | Package | Project |
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|[Removal of `migrationState` field in `ContainerRepository` GraphQL API](https://gitlab.com/gitlab-org/gitlab/-/issues/459869)| Low | Package | Project |
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|[Updated tooling to release CI/CD components to the Catalog](https://gitlab.com/groups/gitlab-org/-/epics/12788)| High | Verify ||
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|[Increased default security for use of pipeline variables](https://gitlab.com/gitlab-org/gitlab/-/issues/502382)| Medium | Verify | Project |
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|[Remove `previousStageJobsOrNeeds` from GraphQL](https://gitlab.com/gitlab-org/gitlab/-/issues/424417)|| Verify ||
### Updated tooling to release CI/CD components to the Catalog
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<divclass="deprecation-notes">
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- Announced in GitLab <spanclass="milestone">17.7</span>
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- Removal in GitLab <spanclass="milestone">18.0</span> ([breaking change](https://docs.gitlab.com/ee/update/terminology.html#breaking-change))
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- To discuss this change or learn more, see the [deprecation issue](https://gitlab.com/groups/gitlab-org/-/epics/12788).
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</div>
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Starting in GitLab 18.0, the internal process that releases CI/CD components to the Catalog will be changed.
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If you use the [recommended CI/CD component release process](https://docs.gitlab.com/ee/ci/components/#publish-a-new-release), which makes use of the `release` keyword and the `registry.gitlab.com/gitlab-org/release-cli:latest` container image, you do not need to make any changes.
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The `latest` version of this container image (`v0.20.0`) contains [GLab](https://gitlab.com/gitlab-org/cli/)`v1.50.0`, which will be used for all releases to the CI/CD Catalog in GitLab 18.0 and later.
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In other cases:
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- If you need to pin the container image to a specific version, use `v0.20.0` or later (`registry.gitlab.com/gitlab-org/release-cli:v0.20.0`),
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to ensure GLab is available for the release process.
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- If you've manually installed the Release CLI tool on your runners, you must install GLab `v1.50.0` or later on those runners.
Copy file name to clipboardExpand all lines: doc/user/analytics/ai_impact_analytics.md
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://handbook.gitlab.com/handbook/product/ux/technical-writing/#assignments
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---
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# AI Impact analytics
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# AI impact analytics
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DETAILS:
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**Tier:** Ultimate with GitLab Duo Enterprise - [Start a trial](https://about.gitlab.com/solutions/gitlab-duo-pro/sales/?type=free-trial)
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> -[Generally available](https://gitlab.com/gitlab-org/gitlab/-/issues/451873) in GitLab 17.2. Feature flag `ai_impact_analytics_dashboard` removed.
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> - Changed to require GitLab Duo add-on in GitLab 17.6.
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AI Impact analytics displays software development lifecycle (SDLC) metrics for a project or group in the month-to-date and the past six months.
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AI impact analytics displays software development lifecycle (SDLC) metrics for a project or group in the month-to-date and the past six months.
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Use AI Impact analytics to:
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Use AI impact analytics to:
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- Measure the effectiveness and impact of AI on SDLC metrics.
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- Visualize which metrics improved as a result of investments in AI.
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- Track the progress of AI adoption.
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- Compare the performance of teams that are using AI against teams that are not using AI.
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For a click-through demo, see the [AI Impact analytics product tour](https://gitlab.navattic.com/ai-impact).
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For a click-through demo, see the [AI impact analytics product tour](https://gitlab.navattic.com/ai-impact).
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## AI Impact metrics
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## AI impact metrics
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AI Impact analytics displays key metrics and metric trends for a project or group.
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AI impact analytics displays key metrics and metric trends for a project or group.
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### Key metrics
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**Code Suggestions usage**: Monthly user engagement with AI Code Suggestions.
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- The month-over-month comparison of the AI Usage unique users rate gives a more accurate indication of this metric, as it eliminates factors such as developer experience level and project type or complexity.
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- The baseline for the AI Usage trend is the total number of code contributors, not just users with GitLab Duo seats. This baseline gives a more accurate representation of AI usage by team members. To learn more about AI Impact analytics, see the blog post [Developing GitLab Duo: AI Impact analytics dashboard measures the ROI of AI](https://about.gitlab.com/blog/2024/05/15/developing-gitlab-duo-ai-impact-analytics-dashboard-measures-the-roi-of-ai/).
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- To analyze the performance of teams that use AI versus teams that don't, you can create a custom [Value Streams Dashboard Scheduled Report](https://gitlab.com/explore/catalog/components/vsd-reports-generator) based on the AI Impact view of projects and groups with and without GitLab Duo.
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- The baseline for the AI Usage trend is the total number of code contributors, not just users with GitLab Duo seats. This baseline gives a more accurate representation of AI usage by team members. To learn more about AI impact analytics, see the blog post [Developing GitLab Duo: AI impact analytics dashboard measures the ROI of AI](https://about.gitlab.com/blog/2024/05/15/developing-gitlab-duo-ai-impact-analytics-dashboard-measures-the-roi-of-ai/).
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- To analyze the performance of teams that use AI versus teams that don't, you can create a custom [Value Streams Dashboard Scheduled Report](https://gitlab.com/explore/catalog/components/vsd-reports-generator) based on the AI impact view of projects and groups with and without GitLab Duo.
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NOTE:
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Usage rate for Code Suggestions is calculated with data starting from GitLab 16.11.
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For more information, see [epic 12978](https://gitlab.com/groups/gitlab-org/-/epics/12978).
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## View AI Impact analytics
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## View AI impact analytics
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Prerequisites:
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1. Select **Analyze > Analytics Dashboards**.
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1. Select **AI impact analytics**.
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To retrieve AI Impact metrics, you can also use the following GraphQL APIs:
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To retrieve AI impact metrics, you can also use the following GraphQL APIs:
msgid "Analytics|Learn more about %{docsLinkStart}AI Impact analytics%{docsLinkEnd} and %{subscriptionLinkStart}GitLab Duo Pro seats usage%{subscriptionLinkEnd}."
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msgid "Analytics|Learn more about %{docsLinkStart}AI impact analytics%{docsLinkEnd} and %{subscriptionLinkStart}GitLab Duo Pro seat usage%{subscriptionLinkEnd}."
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msgstr ""
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msgid "Analytics|Line chart"
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msgid "DuoCodeReview|I have encountered some issues while I was reviewing. Please try again later."
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msgstr ""
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msgid "DuoEnterpriseDiscover|AI Impact analytics dashboard measures the ROI of AI"
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msgid "DuoEnterpriseDiscover|AI Impact Dashboard measures the ROI of AI"
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msgstr ""
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msgid "DuoEnterpriseDiscover|AI-assisted root cause analysis for CI/CD job failures, and suggested fixes to quickly remedy broken pipelines."
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