[{"data":1,"prerenderedAt":820},["ShallowReactive",2],{"/en-us/blog/5-code-review-features":3,"navigation-en-us":40,"banner-en-us":451,"footer-en-us":461,"blog-post-authors-en-us-Brendan O'Leary":700,"blog-related-posts-en-us-5-code-review-features":715,"blog-promotions-en-us":758,"next-steps-en-us":810},{"id":4,"title":5,"authorSlugs":6,"authors":8,"body":10,"category":11,"categorySlug":11,"config":12,"content":16,"date":20,"description":17,"extension":24,"externalUrl":25,"featured":14,"heroImage":19,"isFeatured":14,"meta":26,"navigation":27,"path":28,"publishedDate":20,"rawbody":29,"seo":30,"slug":13,"stem":34,"tagSlugs":35,"tags":38,"template":15,"updatedDate":25,"__hash__":39},"blogPosts/en-us/blog/5-code-review-features.yml","How GitLab's 5 new code review features will make life easier",[7],"brendan-oleary",[9],"Brendan O'Leary","\n_This is the second in a series of blog posts looking at the challenges of code review and the ways a DevOps platform can help. Read the [first post](/blog/the-code-review-struggle-is-real-heres-what-you-need-to-know/)._\n\n## What is a code review, and why is it important?\n\nCode review can be one of the most deceivingly difficult things in delivering software faster. Given the high stakes involved, we've made some key additions to our DevOps Platform that focus on making the code review process as seamless and effective as possible. We believe the number one way to make code reviews effective is to provide context. \n\nToo often we think of [code review tool features](/topics/version-control/what-are-best-code-review-tools-features/) as only \"reading\" and commenting on others' code - but what a good code reviewer does is understand the entire context of the proposed change. Context-driven code reviews should include factors like the issue that spurred on the change, how the change impacts non-obvious things like code quality, security, and performance, and whether the code is maintainable after the change is in place.\n\n## Simplifying code reviews\n\nGiven all of that, we made the merge request the central point of change management and it's one of the key benefits of a DevOps Platform. Using a merge request allows code submitters and reviewers alike to have all of the information required to make the right decisions about a particular change. Making sure that everyone has the same information, and is as informed as possible about how a change will impact the project over all, leads to code reviews that are both quicker and more effective.  \n\nOver the last year we've added five features that help ease the code review pain. Here's a look at all of them:\n\n### 1) Meeting you where you are\n\nSome of the biggest code review changes involve meeting folks where they are - and allowing for a more natural feeling code review. As engineers, we spend most of our days glued to our IDE of choice. And we're used to code not just being static words on a screen, but also interacting and running that code to check its performance and outputs. That's why GitLab has brought a truly integrated experience to your development environment.\n\n**[Here's how to get started with a [DevOps platform](/topics/devops-platform/)]**\n\nIf you use Visual Studio Code as your main development environment like I do, you can now [view merge requests directly in VSCode](https://marketplace.visualstudio.com/items?itemName=GitLab.gitlab-workflow). In addition, you can [comment and see comments](https://gitlab.com/gitlab-org/gitlab-vscode-extension/-/issues/342) in that view as well as [checkout the branch directly from VSCode](https://gitlab.com/gitlab-org/gitlab-vscode-extension/-/issues/63). This familiar environment gives you all the benefits of GitLab MRs - CI/CD, security scanning, approval workflows - without having to leave your own development environment. \n\nBut what if you're not at your development box? Or you don't have this particular library or project installed and running locally?  Well there's a great solution for that - [Gitpod](https://gitpod.io) - and it also integrates directly with GitLab.  Gitpod allows you to have a working, containerized development environment in seconds. And now with GitLab 14.2, you can [launch a Gitpod workspace directly from the GitLab merge request](https://www.gitpod.io/blog/gitlab-mr-gitpod-integration).  That means with one button in GitLab you can go from a static code review into a running application with all of the proposed changes.\n\n### 2) Code quality notices built into the MR diff\n\nGitLab already brings [code quality](https://docs.gitlab.com/ci/testing/code_quality/), [security](https://docs.gitlab.com/user/application_security/), [performance](https://docs.gitlab.com/ci/testing/load_performance_testing/), and [other metrics](https://docs.gitlab.com/ci/testing/metrics_reports/) directly into the merge request. But in GitLab 13.12, we also added the ability to see [code quality notices directly in the MR diff](https://docs.gitlab.com/ci/testing/code_quality/). This means that changes to code quality are presented right next to the offending code, making it quick and easy for reviewers to make suggestions about how to keep code quality top notch while shipping changes.\n\n![Code quality notice shown in-line with merge request diff](https://about.gitlab.com/images/blogimages/code_quality_mr_diff_report_v14_2.png)\n\n### 3) File-by-file reviews\n\nSometimes with changes it is nice to use the file explorer view and be able to see changes across multiple files. Other times you might want to do a thorough pass on *every* file to ensure you didn't miss anything. Toggling between seeing all of the changed files and one file at a time is a small but valuable feature that makes code reviews easier.\n\n![Animated image showing changing between show all and show one file at time view in a merge request](https://about.gitlab.com/images/blogimages/animated-single-file-review-example.gif)\n\n### 4) Check off a file as reviewed\n\nSpeaking of small but powerful features, one of my favorite features is something many would consider incredibly small.  But to that I would say - there are no small features, only small merge requests 😄!\n\n**[How to [get the most out of your DevOps platform](/topics/devops/seven-tips-to-get-the-most-out-of-your-devops-platform/)]**\n\nThe ability to check off files as reviewed has become a natural part of my code review workflow - even when the code I'm reviewing might be code I wrote myself! It allows me to focus more of my review time on the biggest impact changes, ignoring smaller changes or ones that don't directly impact the biggest concerns in a review. And in every review session I use it to make sure I've ACTUALLY reviewed every file...not that any reviewer would ever leave one out 😉.\n\n![Viewed check box checked and a file hidden as already reviewed](https://about.gitlab.com/images/blogimages/filed-viewed-merge-request.png)\n\n### 5) Reviewers vs. Assignee\n\nThe last improvement to code review in our DevOps Platform is the addition of \"reviewers\" as an option in a merge request, alongside the existing choice of \"assignee.\" This can help speed up code reviews by ensuring all team members who have to sign off on a merge request are informed and consulted while also making sure there is a clear responsibility on who will take the next action on a merge request, or be the one to actually click the \"merge when pipeline succeeds\" button.\n\nWe hope your teams will try these new and improved DevOps Platform code review features - and we're not done yet.  We'll be shipping improvements and updates to the code review process all of the time. And because everyone can contribute you can add your own ideas and suggestions into our DevOps Platform to make code reviews less painful and more effective.\n","devsecops",{"slug":13,"featured":14,"template":15},"5-code-review-features",false,"BlogPost",{"title":5,"description":17,"authors":18,"heroImage":19,"date":20,"body":10,"category":11,"tags":21},"Code reviews are hard to get right. Here are five new features in our DevOps Platform designed to streamline code reviews and provide vital context.",[9],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749667400/Blog/Hero%20Images/lagos-techie-unsplash.jpg","2021-09-09",[22,23],"code review","DevOps","yml",null,{},true,"/en-us/blog/5-code-review-features","seo:\n  title: How GitLab's 5 new code review features will make life easier\n  description: >-\n    Code reviews are hard to get right. Here are five new features in our DevOps\n    Platform designed to streamline code reviews and provide vital context.\n  ogTitle: How GitLab's 5 new code review features will make life easier\n  ogDescription: >-\n    Code reviews are hard to get right. Here are five new features in our DevOps\n    Platform designed to streamline code reviews and provide vital context.\n  noIndex: false\n  ogImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749667400/Blog/Hero%20Images/lagos-techie-unsplash.jpg\n  ogUrl: https://about.gitlab.com/blog/5-code-review-features\n  ogSiteName: https://about.gitlab.com\n  ogType: article\n  canonicalUrls: https://about.gitlab.com/blog/5-code-review-features\ncontent:\n  title: How GitLab's 5 new code review features will make life easier\n  description: >-\n    Code reviews are hard to get right. Here are five new features in our DevOps\n    Platform designed to streamline code reviews and provide vital context.\n  authors:\n    - Brendan O'Leary\n  heroImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749667400/Blog/Hero%20Images/lagos-techie-unsplash.jpg\n  date: '2021-09-09'\n  body: >\n\n    _This is the second in a series of blog posts looking at the challenges of\n    code review and the ways a DevOps platform can help. Read the [first\n    post](/blog/the-code-review-struggle-is-real-heres-what-you-need-to-know/)._\n\n\n    ## What is a code review, and why is it important?\n\n\n    Code review can be one of the most deceivingly difficult things in\n    delivering software faster. Given the high stakes involved, we've made some\n    key additions to our DevOps Platform that focus on making the code review\n    process as seamless and effective as possible. We believe the number one way\n    to make code reviews effective is to provide context. \n\n\n    Too often we think of [code review tool\n    features](/topics/version-control/what-are-best-code-review-tools-features/)\n    as only \"reading\" and commenting on others' code - but what a good code\n    reviewer does is understand the entire context of the proposed change.\n    Context-driven code reviews should include factors like the issue that\n    spurred on the change, how the change impacts non-obvious things like code\n    quality, security, and performance, and whether the code is maintainable\n    after the change is in place.\n\n\n    ## Simplifying code reviews\n\n\n    Given all of that, we made the merge request the central point of change\n    management and it's one of the key benefits of a DevOps Platform. Using a\n    merge request allows code submitters and reviewers alike to have all of the\n    information required to make the right decisions about a particular change.\n    Making sure that everyone has the same information, and is as informed as\n    possible about how a change will impact the project over all, leads to code\n    reviews that are both quicker and more effective.  \n\n\n    Over the last year we've added five features that help ease the code review\n    pain. Here's a look at all of them:\n\n\n    ### 1) Meeting you where you are\n\n\n    Some of the biggest code review changes involve meeting folks where they are\n    - and allowing for a more natural feeling code review. As engineers, we\n    spend most of our days glued to our IDE of choice. And we're used to code\n    not just being static words on a screen, but also interacting and running\n    that code to check its performance and outputs. That's why GitLab has\n    brought a truly integrated experience to your development environment.\n\n\n    **[Here's how to get started with a [DevOps\n    platform](/topics/devops-platform/)]**\n\n\n    If you use Visual Studio Code as your main development environment like I\n    do, you can now [view merge requests directly in\n    VSCode](https://marketplace.visualstudio.com/items?itemName=GitLab.gitlab-workflow).\n    In addition, you can [comment and see\n    comments](https://gitlab.com/gitlab-org/gitlab-vscode-extension/-/issues/342)\n    in that view as well as [checkout the branch directly from\n    VSCode](https://gitlab.com/gitlab-org/gitlab-vscode-extension/-/issues/63).\n    This familiar environment gives you all the benefits of GitLab MRs - CI/CD,\n    security scanning, approval workflows - without having to leave your own\n    development environment. \n\n\n    But what if you're not at your development box? Or you don't have this\n    particular library or project installed and running locally?  Well there's a\n    great solution for that - [Gitpod](https://gitpod.io) - and it also\n    integrates directly with GitLab.  Gitpod allows you to have a working,\n    containerized development environment in seconds. And now with GitLab 14.2,\n    you can [launch a Gitpod workspace directly from the GitLab merge\n    request](https://www.gitpod.io/blog/gitlab-mr-gitpod-integration).  That\n    means with one button in GitLab you can go from a static code review into a\n    running application with all of the proposed changes.\n\n\n    ### 2) Code quality notices built into the MR diff\n\n\n    GitLab already brings [code\n    quality](https://docs.gitlab.com/ci/testing/code_quality/),\n    [security](https://docs.gitlab.com/user/application_security/),\n    [performance](https://docs.gitlab.com/ci/testing/load_performance_testing/),\n    and [other\n    metrics](https://docs.gitlab.com/ci/testing/metrics_reports/)\n    directly into the merge request. But in GitLab 13.12, we also added the\n    ability to see [code quality notices directly in the MR\n    diff](https://docs.gitlab.com/ci/testing/code_quality/). This means\n    that changes to code quality are presented right next to the offending code,\n    making it quick and easy for reviewers to make suggestions about how to keep\n    code quality top notch while shipping changes.\n\n\n    ![Code quality notice shown in-line with merge request\n    diff](https://about.gitlab.com/images/blogimages/code_quality_mr_diff_report_v14_2.png)\n\n\n    ### 3) File-by-file reviews\n\n\n    Sometimes with changes it is nice to use the file explorer view and be able\n    to see changes across multiple files. Other times you might want to do a\n    thorough pass on *every* file to ensure you didn't miss anything. Toggling\n    between seeing all of the changed files and one file at a time is a small\n    but valuable feature that makes code reviews easier.\n\n\n    ![Animated image showing changing between show all and show one file at time\n    view in a merge\n    request](https://about.gitlab.com/images/blogimages/animated-single-file-review-example.gif)\n\n\n    ### 4) Check off a file as reviewed\n\n\n    Speaking of small but powerful features, one of my favorite features is\n    something many would consider incredibly small.  But to that I would say -\n    there are no small features, only small merge requests 😄!\n\n\n    **[How to [get the most out of your DevOps\n    platform](/topics/devops/seven-tips-to-get-the-most-out-of-your-devops-platform/)]**\n\n\n    The ability to check off files as reviewed has become a natural part of my\n    code review workflow - even when the code I'm reviewing might be code I\n    wrote myself! It allows me to focus more of my review time on the biggest\n    impact changes, ignoring smaller changes or ones that don't directly impact\n    the biggest concerns in a review. And in every review session I use it to\n    make sure I've ACTUALLY reviewed every file...not that any reviewer would\n    ever leave one out 😉.\n\n\n    ![Viewed check box checked and a file hidden as already\n    reviewed](https://about.gitlab.com/images/blogimages/filed-viewed-merge-request.png)\n\n\n    ### 5) Reviewers vs. Assignee\n\n\n    The last improvement to code review in our DevOps Platform is the addition\n    of \"reviewers\" as an option in a merge request, alongside the existing\n    choice of \"assignee.\" This can help speed up code reviews by ensuring all\n    team members who have to sign off on a merge request are informed and\n    consulted while also making sure there is a clear responsibility on who will\n    take the next action on a merge request, or be the one to actually click the\n    \"merge when pipeline succeeds\" button.\n\n\n    We hope your teams will try these new and improved DevOps Platform code\n    review features - and we're not done yet.  We'll be shipping improvements\n    and updates to the code review process all of the time. And because everyone\n    can contribute you can add your own ideas and suggestions into our DevOps\n    Platform to make code reviews less painful and more effective.\n  category: devsecops\n  tags:\n    - code review\n    - DevOps\nconfig:\n  slug: 5-code-review-features\n  featured: false\n  template: BlogPost\n",{"title":5,"description":17,"ogTitle":5,"ogDescription":17,"noIndex":14,"ogImage":19,"ogUrl":31,"ogSiteName":32,"ogType":33,"canonicalUrls":31},"https://about.gitlab.com/blog/5-code-review-features","https://about.gitlab.com","article","en-us/blog/5-code-review-features",[36,37],"code-review","devops",[22,23],"kklugmws_vg0-lROagt_JG3sFHfqvy61hwKdNC38Cl8",{"data":41},{"logo":42,"freeTrial":47,"sales":52,"login":57,"items":62,"search":371,"minimal":402,"duo":421,"switchNav":430,"pricingDeployment":441},{"config":43},{"href":44,"dataGaName":45,"dataGaLocation":46},"/","gitlab logo","header",{"text":48,"config":49},"Get free 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University of Washington lecturer Stephen G. Dame uses GitLab for Education to manage student assignments, distribute course materials, and provide inline code feedback at scale.\n",[721],"Rod Burns","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659537/Blog/Hero%20Images/display-article-image-0679-1800x945-fy26.png","2026-04-29","For instructors teaching software development, one of the biggest logistical challenges is assignment distribution and feedback at scale. How do you give large groups of students access to course materials, keep solution code private, and still deliver meaningful, contextual feedback without lots of administrative overhead?\n\nThe **[GitLab for Education program](https://about.gitlab.com/solutions/education/)** provides qualifying institutions with free access to **GitLab Ultimate**, enabling instructors to build professional-grade workflows that mirror real-world software development environments. In this article, you'll learn how Stephen G. Dame, a lecturer in the Computing and Software Systems department at the University of Washington, Bothell, uses simple workflows in GitLab to manage everything from course materials to student feedback across multiple classes.\n\n## From aerospace to academia: Bringing GitLab to the classroom\n\nDame came to academia with years of experience as a chief software engineer at Boeing Commercial Airplanes, where GitLab was used for aerospace projects. As an adjunct professor, he became an early advocate for GitLab within the university, joining the GitLab for Education program to access the full feature set needed to run structured, scalable course workflows.\n\n> **\"GitLab provides the greatest way to organize multiple classes, student assignments, lectures, and code samples through the use of Groups and Subgroups, which I found to be unique to GitLab compared to other repository platforms.\"**\n>\n> - Stephen G. Dame, University of Washington, Bothell\n\n## Set up groups: Build the right structure before writing a line of code\n\nThe foundation of an effective GitLab-based course is a well-planned group hierarchy. GitLab's **[Groups and Subgroups](https://docs.gitlab.com/tutorials/manage_user/#create-the-organization-parent-group-and-subgroups)** allow instructors to model the natural structure of a university department institution, course, and role with precise, inheritable permissions at every level.\n\nDame's structure places the university at the root (`UWTeaching`), with each course occupying its own subgroup (e.g. `css430`). Within each course sit repositories for `lecture-materials` and `code`, alongside dedicated Subgroups for `students` and `graders`. Instructor materials remain private, while student and grader subgroups are configured with controlled permissions so that assignment briefs and solutions are visible only to the right people.\n\n![Screenshot of GitLab group hierarchy — institution, course subgroup, and per-student subgroups](https://res.cloudinary.com/about-gitlab-com/image/upload/v1777463673/dpxfnitv76pdmvcqtgag.png)\n\nPermissions cascade downward through the hierarchy via **Manage > Members**, allowing Dame to add students to a course's `students` subgroup with `Reporter` access and an expiration date tied to the end of the academic quarter. Students can clone and pull from assignment repositories but cannot push — keeping solution code firmly under instructor control.\n\nStudents are guided to set up SSH keys across all their working environments (local machines, cloud shells, virtual machines) so they can clone repositories and receive weekly updates via `git pull`. They copy relevant code into their own private repositories to manage their own version history.\n\n**Tip for large classes:** For larger cohorts, adding students by hand is impractical. GitLab's REST API lets you automate subgroup creation and membership from a list of usernames. Below is a sample Python script that handles this:\n\n```python\n    import gitlab\n    from datetime import datetime\n\n    # Connect to your GitLab instance\n    gl = gitlab.Gitlab('https://gitlab.com', private_token='YOUR_PRIVATE_TOKEN')\n\n    # Target parent group ID (e.g., the ID for \"css430 > students\")\n    parent_group_id = 12345678\n\n    # Set expiration: typically the beginning of the next month after quarter end\n    expiry_date = '2025-01-01'\n\n    # List of collected student usernames\n    student_list = ['alice_css430', 'bob_css430', 'carol_css430', 'dave_css430', 'eve_css430']\n\n    for username in student_list:\n        try:\n            # 1. Create a personal subgroup for the student\n            subgroup = gl.groups.create({\n                'name': username,\n                'path': username,\n                'parent_id': parent_group_id,\n                'visibility': 'private'\n            })\n\n            # 2. Add student to the new subgroup with Expiration\n            user = gl.users.list(username=username)[0]\n            subgroup.members.create({\n                'user_id': user.id,\n                'access_level': gitlab.const.REPORTER_ACCESS,\n                'expires_at': expiry_date\n            })\n            print(f\"Success: Subgroup created and student added for {username}\")\n        except Exception as e:\n            print(f\"Error processing {username}: {e}\")\n```\nThere is also an [open source project that automates class management](https://gitlab.com/edu-docs/class-management-automation) published by GitLab that provides additional tooling for this workflow.\n## Give feedback where the work actually lives\n\nOnce the structure is in place, the feedback workflow is where GitLab's value becomes most apparent to students. Dame asks students to submit assignments by opening a **[merge request](https://docs.gitlab.com/user/project/merge_requests/)** in their repository. This gives instructors an immediate, clean diff of everything the student has written.\n![A GitLab merge request showing inline code comment function for an instructor](https://res.cloudinary.com/about-gitlab-com/image/upload/v1777467468/icclzyglbkwlvfysggbi.png)\nInstructors can click any line of code and leave an **inline comment** — not just flagging what is wrong, but explaining why, and pointing to what to look at next. Students receive this feedback in direct context with their code, which is far more actionable than a comment at the bottom of a submitted document.\n\n## Join GitLab for Education\n\nSetting up your first GitLab assignment takes some initial effort, but once the structure is in place it largely runs itself. The real payoff goes beyond organization: Students graduate having worked daily in an environment that mirrors professional software development, building habits around [version control](https://about.gitlab.com/topics/version-control/) and [code review](https://docs.gitlab.com/development/code_review/) rather than learning them as abstract concepts.\n\nIf you are just getting started, keep it simple. Begin with a single course group, one assignment template, and a basic pipeline. The structure will grow naturally alongside your confidence with the platform.\n\nMake sure to **[sign up for GitLab for Education](https://about.gitlab.com/solutions/education/join/)** so that you and your students can access all top-tier features, including unlimited reviewers on merge requests, additional compute minutes, and expanded storage.\n\n> [Apply to the GitLab for Education program today](https://about.gitlab.com/solutions/education/join/).",[622,726],"open source",{"featured":14,"template":15,"slug":728},"teaching-software-development-the-easy-way-using-gitlab",{"content":730,"config":742},{"description":731,"authors":732,"heroImage":734,"date":735,"title":736,"body":737,"category":11,"tags":738},"AI-generated code is 34% of development work. Discover how to balance productivity gains with quality, reliability, and security.",[733],"Manav Khurana","https://res.cloudinary.com/about-gitlab-com/image/upload/v1767982271/e9ogyosmuummq7j65zqg.png","2026-01-08","AI is reshaping DevSecOps: Attend GitLab Transcend to see what’s next","AI promises a step change in innovation velocity, but most software teams are hitting a wall. According to our latest [Global DevSecOps Report](https://about.gitlab.com/developer-survey/), AI-generated code now accounts for 34% of all development work. Yet 70% of DevSecOps professionals report that AI is making compliance management more difficult, and 76% say agentic AI will create unprecedented security challenges.\n\nThis is the AI paradox: AI accelerates coding, but software delivery slows down as teams struggle to test, secure, and deploy all that code.\n\n## Productivity gains meet workflow bottlenecks\nThe problem isn't AI itself. It's how software gets built today. The traditional DevSecOps lifecycle contains hundreds of small tasks that developers must navigate manually: updating tickets, running tests, requesting reviews, waiting for approvals, fixing merge conflicts, addressing security findings. These tasks drain an average of seven hours per week from every team member, according to our research.\n\nDevelopment teams are producing code faster than ever, but that code still crawls through fragmented toolchains, manual handoffs, and disconnected processes. In fact, 60% of DevSecOps teams use more than five tools for software development overall, and 49% use more than five AI tools. This fragmentation creates collaboration barriers, with 94% of DevSecOps professionals experiencing factors that limit collaboration in the software development lifecycle.\n\nThe answer isn't more tools. It's intelligent orchestration that brings software teams and their AI agents together across projects and release cycles, with enterprise-grade security, governance, and compliance built in.\n\n## Seeking deeper human-AI partnerships\nDevSecOps professionals don't want AI to take over — they want reliable partnerships. The vast majority (82%) say using agentic AI would increase their job satisfaction, and 43% envision an ideal future with a 50/50 split between human and AI contributions. They're ready to trust AI with 37% of their daily tasks without human review, particularly for documentation, test writing, and code reviews.\n\nWhat we heard resoundingly from DevSecOps professionals is that AI won't replace them; rather, it will fundamentally reshape their roles. 83% of DevSecOps professionals believe AI will significantly change their work within five years, and notably, 76% think this will create more engineering jobs, not fewer. As coding becomes easier with AI, engineers who can architect systems, ensure quality, and apply business context will be in high demand.\n\nCritically, 88% agree there are essential human qualities that AI will never fully replace, including creativity, innovation, collaboration, and strategic vision.\n\nSo how can organizations bridge the gap between AI’s promise and the reality of fragmented workflows?\n\n## Join us at GitLab Transcend: Explore how to drive real value with agentic AI\nOn February 10, 2026, GitLab will be hosting Transcend, where we'll reveal how intelligent orchestration transforms AI-powered software development. You'll get a first look at GitLab's upcoming product roadmap and learn how teams are solving real-world challenges by modernizing development workflows with AI.\n\nOrganizations winning in this new era balance AI adoption with security, compliance, and platform consolidation. AI offers genuine productivity gains when implemented thoughtfully — not by replacing human developers, but by freeing DevSecOps professionals to focus on strategic thinking and creative innovation.\n\n[Register for Transcend today](https://about.gitlab.com/events/transcend/virtual/) to secure your spot and discover how intelligent orchestration can help your software teams stay in flow.",[739,740,741],"AI/ML","DevOps platform","security",{"featured":27,"template":15,"slug":743},"ai-is-reshaping-devsecops-attend-gitlab-transcend-to-see-whats-next",{"content":745,"config":756},{"title":746,"description":747,"authors":748,"heroImage":750,"date":751,"body":752,"category":11,"tags":753},"Atlassian ending Data Center as GitLab maintains deployment choice","As Atlassian transitions Data Center customers to cloud-only, GitLab presents a menu of deployment choices that map to business needs.",[749],"Emilio Salvador","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","2025-10-07","Change is never easy, especially when it's not your choice. Atlassian's announcement that [all Data Center products will reach end-of-life by March 28, 2029](https://www.atlassian.com/blog/announcements/atlassian-ascend), means thousands of organizations must now reconsider their DevSecOps deployment and infrastructure. But you don't have to settle for deployment options that don't fit your needs. GitLab maintains your freedom to choose — whether you need self-managed for compliance, cloud for convenience, or hybrid for flexibility — all within a single AI-powered DevSecOps platform that respects your requirements.\n\nWhile other vendors force migrations to cloud-only architectures, GitLab remains committed to supporting the deployment choices that match your business needs. Whether you're managing sensitive government data, operating in air-gapped environments, or simply prefer the control of self-managed deployments, we understand that one size doesn't fit all.\n\n## The cloud isn't the answer for everyone\n\nFor the many companies that invested millions of dollars in Data Center deployments, including those that migrated to Data Center [after its Server products were discontinued](https://about.gitlab.com/blog/atlassian-server-ending-move-to-a-single-devsecops-platform/), this announcement represents more than a product sunset. It signals a fundamental shift away from customer-centric architecture choices, forcing enterprises into difficult positions: accept a deployment model that doesn't fit their needs, or find a vendor that respects their requirements.\n\nMany of the organizations requiring self-managed deployments represent some of the world's most important organizations: healthcare systems protecting patient data, financial institutions managing trillions in assets, government agencies safeguarding national security, and defense contractors operating in air-gapped environments.\n\nThese organizations don't choose self-managed deployments for convenience; they choose them for compliance, security, and sovereignty requirements that cloud-only architectures simply cannot meet. Organizations operating in closed environments with restricted or no internet access aren't exceptions — they represent a significant portion of enterprise customers across various industries.\n\n![GitLab vs. Atlassian comparison table](https://res.cloudinary.com/about-gitlab-com/image/upload/v1759928476/ynl7wwmkh5xyqhszv46m.jpg)\n\n## The real cost of forced cloud migration goes beyond dollars\n\nWhile cloud-only vendors frame mandatory migrations as \"upgrades,\" organizations face substantial challenges beyond simple financial costs:\n\n* **Lost integration capabilities:** Years of custom integrations with legacy systems, carefully crafted workflows, and enterprise-specific automations become obsolete. Organizations with deep integrations to legacy systems often find cloud migration technically infeasible.\n\n* **Regulatory constraints:** For organizations in regulated industries, cloud migration isn't just complex — it's often not permitted. Data residency requirements, air-gapped environments, and strict regulatory frameworks don't bend to vendor preferences. The absence of single-tenant solutions in many cloud-only approaches creates insurmountable compliance barriers.\n\n* **Productivity impacts:** Cloud-only architectures often require juggling multiple products: separate tools for planning, code management, CI/CD, and documentation. Each tool means another context switch, another integration to maintain, another potential point of failure. GitLab research shows [30% of developers spend at least 50% of their job maintaining and/or integrating their DevSecOps toolchain](https://about.gitlab.com/developer-survey/). Fragmented architectures exacerbate this challenge rather than solving it.\n\n## GitLab offers choice, commitment, and consolidation\n\nEnterprise customers deserve a trustworthy technology partner. That's why we've committed to supporting a range of deployment options — whether you need on-premises for compliance, hybrid for flexibility, or cloud for convenience, the choice remains yours. That commitment continues with [GitLab Duo](https://about.gitlab.com/gitlab-duo-agent-platform/), our AI solution that supports developers at every stage of their workflow.\n\nBut we offer more than just deployment flexibility. While other vendors might force you to cobble together their products into a fragmented toolchain, GitLab provides everything in a **comprehensive AI-native DevSecOps platform**. Source code management, CI/CD, security scanning, Agile planning, and documentation are all managed within a single application and a single vendor relationship.\n\nThis isn't theoretical. When Airbus and [Iron Mountain](https://about.gitlab.com/customers/iron-mountain/) evaluated their existing fragmented toolchains, they consistently identified challenges: poor user experience, missing functionalities like built-in security scanning and review apps, and management complexity from plugin troubleshooting. **These aren't minor challenges; they're major blockers for modern software delivery.**\n\n## Your migration path: Simpler than you think\n\nWe've helped thousands of organizations migrate from other vendors, and we've built the tools and expertise to make your transition smooth:\n\n* **Automated migration tools:** Our [Bitbucket Server importer](https://docs.gitlab.com/user/import/bitbucket_server/) brings over repositories, pull requests, comments, and even Large File Storage (LFS) objects. For Jira, our [built-in importer](https://docs.gitlab.com/user/project/import/jira/) handles issues, descriptions, and labels, with professional services available for complex migrations.\n\n* **Proven at scale:** A 500 GiB repository with 13,000 pull requests, 10,000 branches, and 7,000 tags is likely to [take just 8 hours to migrate](https://docs.gitlab.com/user/import/bitbucket_server/) from Bitbucket to GitLab using parallel processing.\n\n* **Immediate ROI:** A [Forrester Consulting Total Economic Impact™ study commissioned by GitLab](https://about.gitlab.com/resources/study-forrester-tei-gitlab-ultimate/) found that investing in GitLab Ultimate confirms these benefits translate to real bottom-line impact, with a three-year 483% ROI, 5x time saved in security related activities, and 25% savings in software toolchain costs.\n\n## Start your journey to a unified DevSecOps platform\n\nForward-thinking organizations aren't waiting for vendor-mandated deadlines. They're evaluating alternatives now, while they have time to migrate thoughtfully to platforms that protect their investments and deliver on promises.\n\nOrganizations invest in self-managed deployments because they need control, compliance, and customization. When vendors deprecate these capabilities, they remove not just features but the fundamental ability to choose environments matching business requirements.\n\nModern DevSecOps platforms should offer complete functionality that respects deployment needs, consolidates toolchains, and accelerates software delivery, without forcing compromises on security or data sovereignty.\n\n[Talk to our sales team](https://about.gitlab.com/sales/) today about your migration options, or explore our [comprehensive migration resources](https://about.gitlab.com/move-to-gitlab-from-atlassian/) to see how thousands of organizations have already made the switch.\n\nYou also can [try GitLab Ultimate with GitLab Duo Enterprise](https://about.gitlab.com/free-trial/devsecops/) for free for 30 days to see what a unified DevSecOps platform can do for your organization.",[573,566,754,755],"product","features",{"featured":27,"template":15,"slug":757},"atlassian-ending-data-center-as-gitlab-maintains-deployment-choice",{"promotions":759},[760,774,785,796],{"id":761,"categories":762,"header":764,"text":765,"button":766,"image":771},"ai-modernization",[763],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":767,"config":768},"Get your AI maturity score",{"href":769,"dataGaName":770,"dataGaLocation":244},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":772},{"src":773},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":775,"categories":776,"header":777,"text":765,"button":778,"image":782},"devops-modernization",[754,11],"Are you just managing tools or shipping innovation?",{"text":779,"config":780},"Get your DevOps maturity score",{"href":781,"dataGaName":770,"dataGaLocation":244},"/assessments/devops-modernization-assessment/",{"config":783},{"src":784},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":786,"categories":787,"header":788,"text":765,"button":789,"image":793},"security-modernization",[741],"Are you trading speed for security?",{"text":790,"config":791},"Get your security maturity score",{"href":792,"dataGaName":770,"dataGaLocation":244},"/assessments/security-modernization-assessment/",{"config":794},{"src":795},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":797,"paths":798,"header":801,"text":802,"button":803,"image":808},"github-azure-migration",[799,800],"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":804,"config":805},"See how GitLab compares to GitHub",{"href":806,"dataGaName":807,"dataGaLocation":244},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":809},{"src":784},{"header":811,"blurb":812,"button":813,"secondaryButton":818},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":814,"config":815},"Get your free trial",{"href":816,"dataGaName":51,"dataGaLocation":817},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":507,"config":819},{"href":55,"dataGaName":56,"dataGaLocation":817},1777493577273]