[{"data":1,"prerenderedAt":818},["ShallowReactive",2],{"/en-us/blog/five-reasons-to-simplify-agile-planning-tool-configuration-gitlab":3,"navigation-en-us":40,"banner-en-us":450,"footer-en-us":460,"blog-post-authors-en-us-Melissa Ushakov":699,"blog-related-posts-en-us-five-reasons-to-simplify-agile-planning-tool-configuration-gitlab":713,"blog-promotions-en-us":755,"next-steps-en-us":808},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":27,"isFeatured":12,"meta":28,"navigation":29,"path":30,"publishedDate":20,"seo":31,"stem":35,"tagSlugs":36,"__hash__":39},"blogPosts/en-us/blog/five-reasons-to-simplify-agile-planning-tool-configuration-gitlab.yml","Five Reasons To Simplify Agile Planning Tool Configuration Gitlab",[7],"melissa-ushakov",null,"agile-planning",{"slug":11,"featured":12,"template":13},"five-reasons-to-simplify-agile-planning-tool-configuration-gitlab",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"5 reasons to simplify your agile planning tool configuration with GitLab","Get more from your agile planning with a platform that supports automation, protects the user experience, and reduces time spent on tool configurations.",[18],"Melissa Ushakov","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749665084/Blog/Hero%20Images/agile.png","2023-10-17","\nAgile planning tools offer an opportunity to guide team members through a workflow and to follow best practices. In some agile planning tools, like Atlassian Jira, this is done by configuring enforced status workflows for agile planning work items. However, enforced status workflows can slow response times, impact team autonomy, and have other negative effects. Instead, let's explore how a single DevSecOps platform with built-in agile tooling can simplify the process — and how GitLab can help.\n\n## What are enforced status workflows?\nEnforced status workflows define the statuses a work item can be in, the allowed status transitions, the data elements needed to perform a status transition, and which users can perform a status transition. In a typical Jira-user scenario, developers have to manually fill in required data and advance an item through a prescribed status workflow that may not account for exceptions. Enforced workflows in an agile planning tool can limit creativity and unnecessarily block progress when exceptions are encountered, hindering the team's ability to respond swiftly to changing priorities and limiting their autonomy in delivering the best business outcomes.\n\n![status workflows](https://about.gitlab.com/images/blogimages/2023-09-26-say-no-to-complex-status-enforcements-in-your-agile-planning-tool/status_workflow_example.png){: .shadow.small.center}\nExample of an enforced workflow preventing certain status transitions\n\n\n\n## Guiding users through a workflow with GitLab\nHere are five ways GitLab simplifies your agile planning tool configuration.\n\n### 1. Statuses are enforced close to the work for better efficiency.\nCompliance and security checks are necessary, and organizations should ensure that work goes through the proper reviews and that the right team members are involved. Agile planning work items are an artifact that helps align the scope of work of a deliverable, and the work to make that scope a reality happens in downstream in merge requests. Many times, enforcements are better suited to be applied through [approval rules](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/rules.html), [compliance pipelines](https://docs.gitlab.com/ee/user/group/compliance_frameworks.html#compliance-pipelines), or [deployment approvals](https://docs.gitlab.com/ee/ci/environments/deployment_approvals.html). This leads to a greater assurance that the code changes have followed the right process, which matters most. For example, instead of having an enforced status transition in your work items for a security review, you can create [merge request approval rules](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/rules.html), setting the members of your security team as approvers. [Deployment approvals](https://docs.gitlab.com/ee/ci/environments/deployment_approvals.html) can be set up so that your quality assurance lead needs to approve the deployment to specific environments.\n\n![status workflows](https://about.gitlab.com/images/blogimages/2023-09-26-say-no-to-complex-status-enforcements-in-your-agile-planning-tool/unified_approval_rules_v16_0.png){: .shadow.small.center}\nThe production environment requires five total approvals, and allows deployments from only the \"Very Important Group\" and the user administrator.\n\n\n\n### 2. Automation improves data quality.\nThis may seem counterintuitive, but when you place too many restrictions on what data entry is allowed, people stop updating their work items, leading to poor data quality. Working through exceptions to the process is cumbersome, and users need to misreport activity to close the work item when work is done. For example, it's common for users in a tool with workflow enforcements to quickly advance an issue through statuses that didn’t happen so that it could be closed when work has been completed. What if you could intelligently derive the status of work instead of relying on people updating issues? With [GitLab triage](https://gitlab.com/gitlab-org/ruby/gems/gitlab-triage), automation can add or remove labels, set a health status based on downstream DevOps activity, and more. Your developers can spend more time on product innovation and driving your business objectives forward instead of manually updating details, which automation can handle.\n\n![bot labels](https://about.gitlab.com/images/blogimages/2023-09-26-say-no-to-complex-status-enforcements-in-your-agile-planning-tool/gitlab_bot_health.png){: .shadow.medium.center}\nUpdate health with automation\n\n\n\n![bot health](https://about.gitlab.com/images/blogimages/2023-09-26-say-no-to-complex-status-enforcements-in-your-agile-planning-tool/gitlab_bot_labels.png){: .shadow.medium.center}\nUpdate labels with automation\n\n\n\n### 3. The user experience is protected.\nAt GitLab, we prioritize [convention over configuration](https://handbook.gitlab.com/handbook/product/product-principles/#convention-over-configuration) as one of our product principles to deliver exceptional user experiences. This is why GitLab avoids using heavy-handed enforced status workflows in agile planning tools, which end users often dislike. These workflows create friction and hinder your team's productivity. Instead, teams should encourage transparency by explaining the importance of each step in the process, fostering understanding and buy-in. GitLab enables teams to represent a status flow with boards that help to understand the intended flow. A simplified planning tool setup within the DevSecOps platform drives collaboration, transparency, and trust across all roles, leading to a better full-team experience where developers can deliver more value faster.\n\n![workflow board](https://about.gitlab.com/images/blogimages/2023-09-26-say-no-to-complex-status-enforcements-in-your-agile-planning-tool/workflow_board.png){: .shadow.medium.center}\nBoards guide your team through a sequence of statuses\n\n\n\n### 4. Developer tool integration is simplified.\nOrganizations often have a rich ecosystem of tools, and the inability to fully integrate with a critical tool like your agile planning solution limits efficiency and flexibility, potentially leading to time-consuming manual processes. When your status process flow is too restrictive, it is almost impossible to update data from an integration accurately, leading to data mismatches between systems. Other vendors, like Atlassian, have resorted to advising against updating data via an integration. At GitLab, we embrace developer tool preferences and have a comprehensive [suite of APIs and webhooks](https://docs.gitlab.com/ee/api/).\n\n### 5. Time spent on tool configuration is reduced.\nAgile planning tools require close management of configurations. The more prescriptive you make workflows, the more time you have to spend tending to those configurations. With GitLab, automated workflow controls require less effort and enable greater team autonomy. By embracing GitLab's flexible configuration options, teams can spend less time on agile planning tool management and innovate more efficiently.\n\n## Getting started with GitLab\nWith a simplified agile planning tool setup in GitLab that takes advantages of modern DevSecOps practices, you can increase efficiency, encourage collaboration, and get to market faster – all while improving the developer experience.\n\nGet started today with the [Jira importer](https://docs.gitlab.com/ee/user/project/import/jira.html).\n",[23,24,25,26],"agile","DevSecOps 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Agile planning experience is getting a significant upgrade. Starting in GitLab 18.10, the new work items list and saved views bring together two long-requested capabilities: one list that displays all work item types together, and saved views that let you store and return to customized list configurations.\n\nThese capabilities help save time and effort by:\n\n* Eliminating repetitive filter setup for common workflows  \n* Ensuring consistency in how teams view and assess work  \n* Facilitating standardized reporting and status checks\n\n## What are work items?\n\nPreviously, epics and issues lived on separate list pages, requiring users to navigate between them. The work items list combines epics, issues, and other work items into a single, unified list experience, eliminating the need to switch between separate pages for different work item types.\n\nThis is also the foundation for deeper planning capabilities coming in the future. Bringing all work item types into one place paves the way for hierarchy views (like a Table view) that will make it easier to visualize relationships and structure across epics, issues, and other items at a glance.\n\nBeyond list and hierarchy views, we also plan to consolidate other common workflows, like Boards, into this unified experience. The result: all of your essential planning views in one place, shareable with your team through saved views, without needing to navigate across different parts of the product.\n\nYou may be wondering why we call these \"work items\" rather than issues. The short answer is that \"issue\" doesn't scale to where we're going. Soon, you'll be able to fully configure your work item types, including their names, to match your organization's planning hierarchy. Locking the experience to legacy naming would work against that flexibility. \"Work items\" is the foundation for a model you can make your own.\n\n![Work items list view](https://res.cloudinary.com/about-gitlab-com/image/upload/v1774028606/ae9ugijwjsyv3ktiks0n.png)\n\n## What led to the change to work items?\n\nIn 2024, we shared our vision for a [new Agile planning experience in GitLab](https://about.gitlab.com/blog/first-look-the-new-agile-planning-experience-in-gitlab/), powered by the work items framework. That post outlined the core problem: Epics and issues existed as separate experiences, creating friction for teams who expected consistent functionality across planning objects. The work items framework was our answer — a unified architecture designed to deliver consistency and unlock new capabilities across GitLab's planning tools. Work items list and saved views are a step in that journey.\n\n## What are saved views?\n\nSaved views allow users to save and return to customized list configurations, including filters, sort order, and display options. The goal is to make routine checks more efficient and to support consistent, standardized ways of viewing work across a team.\n\n![Saved view](https://res.cloudinary.com/about-gitlab-com/image/upload/v1774028606/izmg27ckskpkdofgvonr.png)\n\n## What's next\n\nTo understand why we are making the changes we are, it helps to picture where we're headed.\n\nThe goal isn't just a work items list; it's a planning experience that lets you move fluidly between different types of views (list, board, table, and more) while retaining your current filter scope.\n\nPair that with saved views, and you can create a dedicated view for each of your workflows: iteration planning, backlog refinement, portfolio-level planning with nested table views, and more.\n\nEach view is ready to go, consistent in how it filters and displays work, and shareable with your team. This framework also sets the stage for more powerful capabilities down the road, including full swimlane support for any work item attribute in boards. \n\nWe know that changes to the tools you use every day can be disruptive. If you've built workflows around the existing epic and issue list pages, this will look and feel different. That's not something we take lightly.\n\nThis direction wasn't a decision we made quickly. It reflects years of feedback, a significant architectural investment in the work items framework, and a genuine belief that a unified experience will serve teams better in the long run. We expect the transition to take some adjustment, and we'll continue to iterate based on what we hear from you!\n\n## Share your feedback\nWe encourage you try these new capabilities. Then, please reach out about your work items list and saved views experience in our [feedback issue](https://gitlab.com/gitlab-org/gitlab/-/work_items/590689). Your comments will help us further improve these capabilities.",[23,718,26],"features","2026-03-23","Agile planning gets a boost from new features in GitLab 18.10","Work items list and saved views reduce context switching, keeping your software development team aligned and their workflows efficient.",[723],"Matthew Macfarlane","https://res.cloudinary.com/about-gitlab-com/image/upload/v1773843921/rm35fx4gylrsu9alf2fx.png",{"featured":29,"template":13,"slug":726},"agile-planning-gets-a-boost-from-new-features-in-gitlab-18-10",{"content":728,"config":739},{"title":729,"description":730,"heroImage":731,"date":732,"body":733,"category":9,"tags":734,"authors":736},"Ace your planning without the context-switching","Learn how GitLab Duo Planner Agent simplifies tasks and saves time by helping product and engineering managers focus on the work that matters most.\n\n","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098354/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%281%29_5XrohmuWBNuqL89BxVUzWm_1750098354056.png","2025-10-28","Software development teams face a challenging balancing act: dozens of tasks, limited time, and constant pressure to pick the right thing to work on next. \n\nThe planning overhead of structuring requirements, managing backlogs, tracking delivery, and writing status updates steals hours from strategic thinking. \n\nThe result? Less time for the high-value decisions that actually drive products forward.\n\nThat’s why we developed [GitLab Duo Planner](https://docs.gitlab.com/user/duo_agent_platform/agents/foundational_agents/planner/), an AI agent built on [GitLab Duo Agent Platform](https://about.gitlab.com/gitlab-duo-agent-platform/) to support product managers directly within GitLab.\n\nGitLab Duo Planner isn't another generic AI assistant. GitLab's product and engineering teams, who live these challenges daily like many of our customers, purpose-built GitLab Duo Planner to orchestrate planning workflows and reduce overhead while improving alignment and predictability.\n\n## Your new planning teammate\n\nToday’s planning workflows face three major problems:\n\n1. Prone to drift -  Unplanned and orphaned work reduce trust in the plan.  \n2. Disruptive to developers - Constant interruptions for status updates break flow.  \n3. Opaque - Hidden risks surface too late to course-correct.\n\nTransforming the way teams work, GitLab Duo Planner turns manual overhead like vague ideas into structured requirements in minutes. Surface hidden backlog problems before they derail sprints. Apply RICE and MoSCoW frameworks instantly to make confident prioritization decisions. With awareness of GitLab context across the platform, every interaction with GitLab Duo Planner saves time and improves decision quality. This is possible because of the foundational agent architecture, bringing deep domain expertise and context awareness specific to GitLab.\n\n## Built for teams\n\nGitLab Duo Planner leverages work items (epics, issues, tasks) and understands the nuances of work breakdown structures, dependency analysis, and effort estimation, making it well positioned to improve visibility, alignment, and confidence in delivery.\n\n* Platform approach - Unlike point solutions, Duo Planner orchestrates across your entire GitLab platform, from planning through development and testing, driving visibility across teams and workflows. \n\n* Embedded in the flow - No more context-switching between tools or diving deep into GitLab to retrieve information. Duo Planner enables contributions, collaboration, and transparency from users across the software development lifecycle. \n\n* Saves time and effort - Use Duo Planner to free your teams from repetitive coordination work, improving delivery predictability, reducing missed commitments while bringing in focus on what actually moves the needle.\n\n## From chaos to clarity\n\nGitLab Duo Planner can help at different stages of software planning and delivery while operating within the planning scope, providing a safe, bounded environment with project visibility.\n\nThe agent can help with six flows:\n\n* Prioritization - Apply frameworks like RICE, MoSCoW, or WSJF to rank work items intelligently\n\n* Work breakdown - Decompose initiatives into epics, features, and user stories to structure requirements\n\n* Dependency analysis - Identify blocked work and understand relationships between items to maintain velocity\n\n* Planning -  Organize sprints, milestones, or quarterly planning \n\n* Status reporting -  Generate summaries of project progress, risks, and blockers to track delivery\n\n* Backlog management -  Identify stale issues, duplicates, or items needing refinement to improve data hygiene\n\n\nHere is an example how GitLab Duo Planner can check the status of an initiative:\n\n\u003Cdiv>\u003Ciframe src=\"https://player.vimeo.com/video/1131065078?badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"GitLab Duo Planner Agent\">\u003C/iframe>\u003C/div>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n\u003Cp>\u003C/p>\n\nDuo Planner is available as a custom agent in the Duo Chat side panel, with the current page context.\n\n\u003Cp>\u003C/p>\n\n![Duo Planner as a custom agent in the Duo Chat side panel](https://res.cloudinary.com/about-gitlab-com/image/upload/v1761323689/ener1mkyj9shg6zvtp4f.png)\n\n\u003Cp>\u003C/p>\n\nLet’s ask Duo Planner about the status of an initiative by providing the epic link:\n\n![Asking Duo Planner about the status of an initiative by providing the epic link](https://res.cloudinary.com/about-gitlab-com/image/upload/v1761323689/gzv2xudegtjhtesz1oaz.png)\n\n\u003Cp>\u003C/p>\n\nWe receive a structured summary with an overview, current status of milestones, in-progress items, dependencies, and blockers, along with actionable recommendations.\n\n![Structured summary](https://res.cloudinary.com/about-gitlab-com/image/upload/v1761323690/guoyqe1b9bstmbjzunez.png)\n\n\u003Cp>\u003C/p>\n\nNext, let’s ask for an executive summary to share with stakeholders:\nGitLab Duo Planner eliminates hours of manual analysis and reporting effort, helping to make decisions faster and keep all stakeholders updated.\n\n![Ask for executive summary](https://res.cloudinary.com/about-gitlab-com/image/upload/v1761323689/xs9zxawqrytfu54ejx2b.png)\n\n\n\u003Cp>\u003C/p>\n\n![Output of executive summary](https://res.cloudinary.com/about-gitlab-com/image/upload/v1761323690/bsbpvjaqnymobzg4knhu.png)\n\n\u003Cp>\u003C/p>\n\nHere are a few more prompts you can try with GitLab Duo Planner:\n\n* “Which of the bugs with a “boards” label should we fix first, considering user impact?”  \n* “Rank these epics by strategic value for Q1.”  \n* “Help me prioritize technical debt against new features.”  \n* “What tasks are needed to implement this user story?”  \n* “Suggest a phased approach for this project: (insert URL).”\n\n## What's next\n\nGitLab Duo Planner focuses intentionally on product managers and engineering managers working in Agile environments. Why? Because specificity drives performance. By training Duo Planner deeply on GitLab's planning workflows and Agile frameworks, we deliver reliable, actionable insights rather than generic suggestions.\n\nAs we evolve the platform, we envision a family of specialized agents, each optimized for specific workflows while contributing to a unified intelligence layer. Today's planner for software teams is just the beginning of how AI will transform work prioritization across all teams.\n\n> If you’re an existing GitLab customer and would like to try GitLab Duo Planner with a prompt of your own, visit our [documentation](https://docs.gitlab.com/user/duo_agent_platform/agents/foundational_agents/planner/) where we cover prerequisites, use cases, and more.",[735,23,718,26],"AI/ML",[737,738],"Aathira Nair","Amanda Rueda",{"featured":29,"template":13,"slug":740},"ace-your-planning-without-the-context-switching",{"content":742,"config":753},{"title":743,"description":744,"authors":745,"date":748,"body":749,"category":9,"tags":750,"heroImage":752},"Embedded views: The future of work tracking in GitLab","Learn how embedded views, powered by GitLab Query Language, help GitLab teams work more efficiently, make data-driven decisions, and maintain visibility across complex workflows.",[723,746,747],"Himanshu Kapoor","Alex Fracazo","2025-08-21","Ever find yourself switching between tabs in GitLab just to keep track of what’s happening in your project? Maybe you’re checking on an issue, then jumping to a merge request, then over to an epic to see how everything connects. Before you know it, you’ve got a browser full of tabs and you’ve lost your train of thought.\n\nIf that sounds familiar, you’re definitely not alone. So many teams waste time and energy flipping through various items in their project management software, just trying to get a handle on their work.\n\nThat's why we created [embedded views](https://docs.gitlab.com/user/glql/#embedded-views), powered by [GitLab Query Language (GLQL)](https://docs.gitlab.com/user/glql/). With embedded views, [available in 18.3](https://about.gitlab.com/releases/2025/08/21/gitlab-18-3-released/), you get live, relevant information right where you’re already working in GitLab. No more endless context switching. No more outdated reports. Just the info you need, right when you need it.\n## Why embedded views matter\nEmbedded views are more than just a new feature, they're a fundamental shift in how teams understand and track their work within GitLab. With embedded views, teams can maintain context while accessing real-time information, creating shared understanding, and improving collaboration without ever leaving their current workflow. It’s about making work tracking feel natural and effortless, so you can focus on what matters.\n## How it works: Real-time data right where you need it the most\nEmbedded views let you insert live GLQL queries in Markdown code blocks throughout wiki pages, epics, issues, and merge requests. Here's what makes them so useful:\n### Always up to date\nGLQL queries are dynamic, pulling fresh data each time the page loads, so your embedded views always reflect the current state of your work, not the state when you embedded the view. When changes happen to issues, merge requests, or milestones, a page refresh will show those updates in your embedded view.\n### Contextual awareness\nUse functions like `currentUser()` and `today()` to make queries context-specific. Your embedded views automatically adapt to show relevant information for whoever is viewing them, creating personalized experiences without manual configuration.\n### Powerful filtering\nFilter by fields like assignee, author, label, milestone, health status, creation date, and more. Use logical expressions to get exactly the data you want. We support more than 30 fields as of 18.3.\n### Customizable display\nYou can display your data as a table, a list, or a numbered list. Choose which fields to show, set a limit on the number of items, and specify the sort order to keep your view focused and actionable.\n### Availability\nYou can use embedded views in group and project wikis, epic and issue descriptions, merge requests, and comments. GLQL is available across all GitLab tiers: Free, Premium, and Ultimate, on GitLab.com, GitLab Self-Managed, and GitLab Dedicated. Certain functionality, such as displaying epics, status, custom fields, iterations, and weights, is available in the Premium and Ultimate tiers. Displaying health status is available only in Ultimate.\n## See embedded views in action\nThe syntax of an embedded view's source is a superset of YAML that consists of:\n- The `query` parameter: Expressions joined together with a logical operator, such as `and`.\n- Parameters related to the presentation layer, like `display`, `limit`, or `fields`, `title`, and `description`\n  represented as YAML.\n\nA view is defined in Markdown as a code block, similar to other code blocks like Mermaid.\nFor example:\n- Display a table of first 5 open issues assigned to the authenticated user in `gitlab-org/gitlab`.\n- Display columns `title`, `state`, `health`, `description`, `epic`, `milestone`, `weight`, and `updated`.\n````markdown\n```glql\ndisplay: table\ntitle: GLQL table 🎉\ndescription: This view lists my open issues\nfields: title, state, health, epic, milestone, weight, updated\nlimit: 5\nquery: project = \"gitlab-org/gitlab\" AND assignee = currentUser() AND state = opened\n```\n````\nThis source should render a table like the one below:\n![](https://res.cloudinary.com/about-gitlab-com/image/upload/v1755193172/ibzfopvpztpglnccwrjj.png)\n\nAn easy way to create your first embedded view is to navigate to the **More options** dropdown in the rich text editor toolbar. Once in this toolbar, select **Embedded view**, which populates the following query in a Markdown code block:\n````markdown\n```glql\nquery: assignee = currentUser()\nfields: title, createdAt, milestone, assignee\ntitle: Issues assigned to current user\n```\n````\nSave your changes to the comment or description where the code block appears, and you're done! You've successfully created your first embedded view!\n## How GitLab uses embedded views\nWhether tracking merge requests targeting security releases, triaging bugs to improve backlog hygiene, or managing team onboarding and milestone planning, we rely on embedded views for mission-critical processes every day. This isn't just a feature we built, it's a tool we depend on to run our business effectively. When you adopt embedded views, you're getting a tested solution that's already helping GitLab teams work more efficiently, make data-driven decisions, and maintain visibility across complex workflows. Simply stated, embedded views can transform how your team accesses and analyzes the work that matters most to your success.\n\nTo learn and see more about how GitLab is using embedded views internally, check out [How GitLab measures Red Team impact: The adoption rate metric](https://about.gitlab.com/blog/how-gitlab-measures-red-team-impact-the-adoption-rate-metric/), and Global Search Release Planning issues for the [18.1](https://gitlab.com/gitlab-org/search-team/team-tasks/-/issues/239), [18.2](https://gitlab.com/gitlab-org/search-team/team-tasks/-/issues/241), and [18.3](https://gitlab.com/gitlab-org/search-team/team-tasks/-/issues/245) milestones.\n## What's next\n[Embedded views](https://docs.gitlab.com/user/glql/) are just the start of Knowledge Group's vision for work tracking. Learn more about what we're focusing on next in the [embedded views post-GA epic](https://gitlab.com/groups/gitlab-org/-/epics/15249). As embedded views evolve we're committed to making them even more powerful and [accessible](https://gitlab.com/gitlab-org/gitlab/-/issues/548722).\n## Share your experience\nShare your feedback in the [embedded views GA feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/509792) or via the [embedded views GA survey](https://gitlab.fra1.qualtrics.com/jfe/form/SV_6PFhgZMBA06kr7E). Whether you've discovered innovative use cases, encountered challenges, or have ideas for improvements, we want to hear from you.\n",[23,24,751],"workflow","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750099072/Blog/Hero%20Images/Blog/Hero%20Images/agile_agile.png_1750099072322.png",{"featured":12,"template":13,"slug":754},"embedded-views-the-future-of-work-tracking-in-gitlab",{"promotions":756},[757,771,782,794],{"id":758,"categories":759,"header":761,"text":762,"button":763,"image":768},"ai-modernization",[760],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":764,"config":765},"Get your AI maturity score",{"href":766,"dataGaName":767,"dataGaLocation":244},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":769},{"src":770},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":772,"categories":773,"header":774,"text":762,"button":775,"image":779},"devops-modernization",[26,38],"Are you just managing tools or shipping innovation?",{"text":776,"config":777},"Get your DevOps maturity score",{"href":778,"dataGaName":767,"dataGaLocation":244},"/assessments/devops-modernization-assessment/",{"config":780},{"src":781},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":783,"categories":784,"header":786,"text":762,"button":787,"image":791},"security-modernization",[785],"security","Are you trading speed for security?",{"text":788,"config":789},"Get your security maturity score",{"href":790,"dataGaName":767,"dataGaLocation":244},"/assessments/security-modernization-assessment/",{"config":792},{"src":793},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":795,"paths":796,"header":799,"text":800,"button":801,"image":806},"github-azure-migration",[797,798],"migration-from-azure-devops-to-gitlab","integrating-azure-devops-scm-and-gitlab","Is your team ready for GitHub's Azure move?","GitHub is already rebuilding around Azure. Find out what it means for you.",{"text":802,"config":803},"See how GitLab compares to GitHub",{"href":804,"dataGaName":805,"dataGaLocation":244},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":807},{"src":781},{"header":809,"blurb":810,"button":811,"secondaryButton":816},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":812,"config":813},"Get your free trial",{"href":814,"dataGaName":51,"dataGaLocation":815},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":506,"config":817},{"href":55,"dataGaName":56,"dataGaLocation":815},1776446111703]