[{"data":1,"prerenderedAt":807},["ShallowReactive",2],{"/en-us/blog/ai-native-gitlab-premium-transform-higher-education-software-development":3,"navigation-en-us":42,"banner-en-us":451,"footer-en-us":461,"blog-post-authors-en-us-Jessica Hurwitz|Elisabeth Burrows":701,"blog-related-posts-en-us-ai-native-gitlab-premium-transform-higher-education-software-development":727,"assessment-promotions-en-us":758,"next-steps-en-us":797},{"id":4,"title":5,"authorSlugs":6,"body":9,"categorySlug":10,"config":11,"content":15,"description":9,"extension":29,"isFeatured":13,"meta":30,"navigation":13,"path":31,"publishedDate":22,"seo":32,"stem":37,"tagSlugs":38,"__hash__":41},"blogPosts/en-us/blog/ai-native-gitlab-premium-transform-higher-education-software-development.yml","Ai Native Gitlab Premium Transform Higher Education Software Development",[7,8],"jessica-hurwitz","elisabeth-burrows",null,"product",{"slug":12,"featured":13,"template":14},"ai-native-gitlab-premium-transform-higher-education-software-development",true,"BlogPost",{"title":16,"description":17,"authors":18,"heroImage":21,"date":22,"body":23,"category":10,"tags":24},"AI-native GitLab Premium: Transform higher education software development","The DevSecOps platform's enterprise-grade features for academic workflows, data protection, and support ensure better collaboration, security, and efficiency.",[19,20],"Jessica Hurwitz","Elisabeth Burrows","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659537/Blog/Hero%20Images/display-article-image-0679-1800x945-fy26.png","2025-06-10","Educational institutions increasingly rely on modern software development practices to support teaching, research, and administrative functions. As development needs grow more complex in university and college environments, GitLab Premium with Duo provides essential capabilities that address the unique challenges faced by higher education – particularly around open source development, remote collaboration, and enterprise-grade security.\n\nGitLab's comprehensive, intelligent DevSecOps platform delivers value that extends far beyond fundamental version control. Built on an open source foundation with enterprise-grade features, GitLab Premium helps prevent costly security incidents involving student data, provides cloud-based development environments for distributed teams, and offers the professional support that educational institutions need for mission-critical systems. And now [Premium includes GitLab Duo AI essentials](https://about.gitlab.com/blog/gitlab-premium-with-duo/) Code Suggestions and Chat at no additional cost.\n\n\u003Cdiv>\u003Ciframe src=\"https://player.vimeo.com/video/1083723619?badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"GitLab Premium with Duo Core\">\u003C/iframe>\u003C/div>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n## The unique development environment in higher education\n\nUniversities and colleges operate in a distinctly challenging technical environment. Development teams must support multidisciplinary collaboration across technical and non-technical departments while managing vast amounts of sensitive data – from student records and financial information to research findings and faculty evaluations.\n\nMost institutions face these challenges with limited IT resources, yet must support thousands of concurrent users across numerous projects and research initiatives. Research integrity requirements add another layer of complexity, as development work often needs to maintain traceability and reproducibility standards.\n\n## Premium solutions for educational institutions\n\nGitLab Premium with Duo has the functionality that higher education needs.\n\n### Enhanced collaboration and workflow capabilities\n\nCross-departmental projects are common in educational settings – from multi-department research initiatives to custom module development for systems like Ellucian Banner, an enterprise resource planning application used by higher education. These complex projects require sophisticated workflow management that goes beyond basic version control. \n\nGitLab Premium addresses these challenges with powerful collaboration and project visualization features, including epics, roadmaps, and advanced Kanban boards for Agile development workflows. When you assign multiple approvers to certain merge requests and protected branches, you ensure higher code quality and accountability across teams. These tools allow institutions to coordinate work across departments while aligning with institution-wide objectives – essential for managing multiphase campus technology initiatives.\n\nIn Australia, [Deakin University’s](https://about.gitlab.com/customers/deakin-university/) enablement team uses GitLab to build standardized processes and reusable templates — such as custom merge request templates, templated build pipelines, and a security and compliance framework — that can be shared with the broader university community and citizen developers, driving innovation and collaboration both inside the university and with key partners. “We were trying to bring in a community of practice and help it thrive for quite some time, but we were never successful until we had this tool,” said Aaron Whitehand, director of Digital Enablement at Deakin University.\n\n> #### Read more about [how Deakin University uses GitLab to drive improvements](https://about.gitlab.com/customers/deakin-university/) in collaboration and productivity, including a 60% reduction in manual tasks.\n\n### Advanced data protection and governance\n\nEducational institutions generate and manage vast amounts of data, ranging from student records and financial information to research findings and faculty evaluations. The security stakes are particularly high. The [2023 MOVEit breach](https://universitybusiness.com/in-just-3-months-this-data-breach-has-compromised-nearly-900-institutions/), which spanned three months and compromised approximately 900 educational institutions, exposed the sensitive information of more than 62 million people. This demonstrates the critical need for proactive security measures integrated directly into higher education development workflows. \n\nVulnerability scanning stops code releases that contain security risks, enabling institutions to establish and enforce governance protocols that protect sensitive information. These capabilities help universities implement proper access controls and permission structures for research databases, creating a secure framework where authorized researchers maintain appropriate access – effectively balancing robust protection with necessary collaboration.\n\nGitLab is built from the ground up to secure your source code. Scalable Git-based repositories, granular access controls, and built-in compliance features eliminate bottlenecks in your workflow while meeting security requirements. GitLab Premium provides audit tracking and compliance capabilities essential for educational environments. Complete audit trails capture detailed logs of all code changes, access attempts, and system modifications with timestamps and user attribution. Full change management documentation ensures traceability of who made what changes, when, and why – critical for research integrity – while access control auditing monitors repository access and permissions changes. \n\n### Cloud-based development environments and remote collaboration\n\nModern educational institutions require flexible development environments that support distributed teams, remote learning scenarios, and diverse technical requirements. GitLab Premium provides:\n\n* **[GitLab Workspaces](https://docs.gitlab.com/user/workspace/):** Cloud-based development environments accessible from any device  \n* **[Web IDE integration](https://docs.gitlab.com/user/project/web_ide/):** Browser-based coding with full GitLab feature integration  \n* **[Container-based development](https://about.gitlab.com/blog/build-and-run-containers-in-remote-development-workspaces/):** Consistent, reproducible development environments across different projects and user groups\n\nThese capabilities are particularly valuable for supporting remote and hybrid learning models, enabling students and researchers to access standardized development environments regardless of their physical location or local hardware constraints.\n\n### Professional support for critical systems\n\nSmall IT teams in educational settings often support large, complex infrastructure with minimal resources. Reaching out to user forums for answers doesn't always mean you'll get an accurate reply and isn't efficient for large teams. GitLab Premium includes dedicated professional support, providing faster issue resolution and upgrade assistance during critical periods like class enrollment or research deadlines.\n\nThis minimizes downtime for critical services and ensures continuity of operations during peak usage periods, giving stretched IT departments the enterprise-grade reliability they need for essential academic systems.\n\n### Built on open source with enterprise capabilities\n\nOpen source software is developed collaboratively in a public manner, with source code freely available for anyone to view, modify, and distribute. This development model fosters innovation through community contributions and ensures transparency in how software functions. GitLab's open source foundation resonates strongly with educational institutions' values around collaboration, transparency, and community contribution. GitLab Premium features extend this foundation with enterprise-grade capabilities while maintaining the ability to contribute back to the open source ecosystem.\n\nKey open source advantages include:\n\n* **Transparency:** Complete visibility into platform capabilities and security measures – you can examine exactly how the software works  \n* **Community contribution:** Ability to contribute improvements back to the broader community and benefit from global developer expertise  \n* **Vendor independence:** Reduced lock-in risk with open source alternatives and the freedom to modify code as needed  \n* **Co-creation opportunities:** Collaborative development with the broader community, including other educational institutions, to build shared solutions\n\n### AI assistant for software development tasks\n\nGitLab Premium with [Duo](https://about.gitlab.com/gitlab-duo-agent-platform/) brings powerful AI-native capabilities directly into the development workflow, including:  \n* [**Code Suggestions**](https://docs.gitlab.com/user/project/repository/code_suggestions/), which provides real-time code completion and suggestions, helping developers write code faster and more efficiently  \n* [**Chat**](https://docs.gitlab.com/user/gitlab_duo_chat/), which allows team members to get instant answers to questions, troubleshoot issues, and access documentation directly within the GitLab environment\n\nThese AI tools significantly enhance productivity, reduce errors, and streamline collaboration, making GitLab Premium an even more valuable asset for software development teams in higher education.\n\n### Transparency at the core\n\nHigher education institutions handle incredibly sensitive data — from student records and research findings to proprietary academic work and federal grant information. \n\nThe [GitLab AI Transparency Center ](https://about.gitlab.com/ai-transparency-center/)demonstrates our commitment to transparency, accountability, and protection of customer data and intellectual property, providing the privacy guarantees that educational institutions require.\n\nGitLab launched the AI Transparency Center to help customers, community, and team members better understand how GitLab upholds ethics and transparency in our AI-powered features. \n\nOur publicly available documentation highlights the comprehensive measures we take to protect your institution's data and intellectual property. [GitLab's AI Ethics Principles for Product Development](https://handbook.gitlab.com/handbook/legal/ethics-compliance-program/ai-ethics-principles/) guide us as we continue to build and evolve our AI functionality, helping higher education organizations harness the promise of AI while maintaining complete control and oversight of their most valuable information assets.\n\n## Get started with GitLab Premium today\n\nFor educational institutions, GitLab Premium with Duo represents a strategic technical investment that combines the benefits of open source development with enterprise-grade, AI-native capabilities. 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18.11: Budget guardrails for GitLab Credits","Learn how new spending caps and per-user credit limits give organizations the budget guardrails to scale GitLab Duo Agent Platform.",[733],"Bryan Rothwell","https://res.cloudinary.com/about-gitlab-com/image/upload/v1776259080/cakqnwo5ecp255lo8lzo.png","2026-04-16","Teams using GitLab Duo Agent Platform with on-demand GitLab Credits are shipping faster, catching bugs earlier, and automating tasks that used to take entire sprints. But as adoption grows, so does oversight from finance, procurement, and platform teams to prove that AI spending is bounded, predictable, and controllable.\n\nOne of the greatest barriers to broader AI adoption isn't skepticism about the technology. It's uncertainty about managing spend. Without budget caps, a busy month could produce unexpected expenses. Without per-user limits, a handful of power users could burn through the team's credits before the month is over. And without either, engineering leaders who want to expand their use of agentic AI for software development have to jump through more hoops for budget approval.\n\nSince its [general availability](https://about.gitlab.com/blog/gitlab-duo-agent-platform-is-generally-available/), GitLab Duo Agent Platform has provided usage governance and visibility. With GitLab 18.11, we're introducing usage controls for [GitLab Credits](https://about.gitlab.com/blog/introducing-gitlab-credits/): spending caps and budget guardrails that give your organization even more control and transparency over how credits are consumed.\n\n## Managing GitLab Credits\n\nGitLab 18.11 adds three layers of control over GitLab Credits consumption: a subscription-level spending cap, per-user credit limits, and visibility into cap status and enforcement.\n\n### Subscription-level spending cap\n\nBilling account managers can now set a hard monthly ceiling for on-demand GitLab Credits consumption for their entire subscription.\n\nHere's how it works:\n\n* **Set a cap** in the `Customers Portal` under your subscription's GitLab Credits settings.  \n* **Enforce spend limits automatically.**  When on-demand usage reaches the cap, DAP access is paused for all users on that subscription until the next monthly period begins.  \n* **Make adjustments as you go.** Raise or disable the cap mid-month to restore access.\n\nThe cap resets each monthly period and your configured limit carries forward unless you change it. Because usage data is synchronized periodically rather than in real time, a small amount of additional usage may occur after the cap is reached before enforcement takes effect. See the [GitLab Credits documentation](https://docs.gitlab.com/subscriptions/gitlab_credits/) for details.\n\n### User-level spending caps\n\nNot every user consumes credits at the same rate, and that's expected. But when one or two power users account for a disproportionate share of the pool, the rest of the team can lose access before the month is over.\n\nPer-user credit caps prevent any single user from consuming more than their fair share:\n\n* **Flat per-user cap.** Set a uniform credit limit that applies equally to every user on the subscription through the GitLab GraphQL API. Unlike the subscription-level cap, the per-user cap applies to a user's total consumption across all credit sources.  \n* **Custom per-user overrides.** For organizations that need differentiated limits, you can set individual credit caps for specific users through the GraphQL API. For example, you could give your staff engineers a higher allocation while applying a standard limit to the broader team.  \n* **Individual enforcement.** When a user reaches their cap, they retain full access to GitLab. Only their Duo Agent Platform credit usage is paused until the next billing cycle. Everyone else keeps working uninterrupted until they hit their own limit or the subscription-level cap is reached, whichever comes first.\n\n### Visibility and notifications\n\nWhen a subscription-level cap is reached, GitLab sends an email notification to billing account managers so they can take action: raise the cap, wait for the next period, or redistribute credits.\n\nWithin GitLab, group owners (GitLab.com) and instance administrators (Self-Managed) can view which users have been blocked due to reaching their per-user cap and restore access by adjusting the cap through the GraphQL API. \n\n## How budget guardrails help organizations scale AI usage\n\nGuardrails are essential as organizations ramp up their AI adoption. Here's why:\n\n### Predictable AI budgets\n\nUsage controls for GitLab Duo Agent Platform turn AI into a bounded, predictable budget item using on-demand GitLab Credits. That makes it easier to deploy agents across the software development lifecycle and get sign-off from finance, justify renewals, and plan quarterly spend.\n\n### Governance and chargeback\n\nLarge organizations often need to align AI consumption with internal budgets, cost centers, or departmental policies. Per-user caps give platform teams a straightforward mechanism to allocate credits fairly and track consumption at the individual level. The API import options make it practical to manage caps at enterprise scale. Combined with per-user usage data from the GitLab Credits dashboard, organizations can track consumption patterns to inform their own internal chargeback or budget allocation processes.\n\n### Confidence to scale\n\nMany customers start GitLab Duo Agent Platform with a small pilot group. Usage controls remove risks associated with expanding that pilot across the organization. You can roll out Duo Agent Platform to hundreds or thousands of developers knowing there's a hard ceiling protecting your budget. If usage grows faster than expected, you'll hit the cap, not an unexpected invoice.\n\n## Addressing the seat-based and visibility conundrum\n\nMany AI coding tools take a seat-based approach to cost management. You buy a fixed number of seats at a flat per-user price, and that's your budget. It's simple, but rigid. You pay the same whether a developer uses the tool ten times a day or never touches it. And as vendors introduce premium models and usage-based overages on top of seat pricing, the cost predictability that seat-based licensing promised starts to erode.\n\n\nGitLab takes a different approach. Usage-based pricing with hard caps and a single governance dashboard. You get the flexibility of paying for what your teams actually use, with the budget predictability of enforced spending limits.\n\n## Real-world usage controls\n\n**One example is a mid-size SaaS customer that wants to protect their monthly budget.** A 200-person engineering organization sets a subscription-level cap equal to their expected on-demand usage. Their VP of Engineering can confidently tell finance that GitLab Duo Agent Platform spend will never exceed the approved amount, even as they onboard new teams. If they approach the cap mid-month, the billing account manager gets a notification and can decide whether to raise the limit or wait for the next period.\n\n**At GitLab, we also work with large enterprises that want to keep usage fair across teams.** A global financial services company with 2,000 developers uses per-user caps to ensure equitable access. Staff engineers working on complex refactoring projects get a higher individual allocation via API, while most developers receive a standard flat cap. No single user can exhaust the pool, and the platform team uses the per-user usage data in the GitLab Credits dashboard to track consumption patterns and inform quarterly budget planning.\n\n## Getting started\n\nUsage controls are available for both GitLab.com and Self-Managed customers running GitLab 18.11. Different controls are configured in different places depending on the scope and your role.\n\n**Subscription-level cap**\n\nBilling account managers set the subscription-level on-demand cap in the Customers Portal:\n\n1. Sign in to the `Customers Portal`.  \n2. On your subscription card, navigate to **GitLab Credits** settings.  \n3. Enable the monthly on-demand credits cap and enter your desired limit.\n\n**Flat per-user cap**\n\nThe flat per-user cap can be set through the GitLab GraphQL API by namespace owners (GitLab.com) or instance administrators (Self-Managed). Check the [GitLab Credits documentation](https://docs.gitlab.com/subscriptions/gitlab_credits/) for the latest on available configuration surfaces.\n\n**Custom per-user overrides**\n\nFor differentiated limits, namespace owners (GitLab.com) and instance administrators (Self-Managed) can set individual caps programmatically. This is useful for automation and infrastructure-as-code workflows.\n\n**Monitor usage and cap status**\n\n* **Customers Portal:** View detailed usage and cap status.  \n* **GitLab.com:** Group owners can view blocked users under **Settings > GitLab Credits**.  \n* **Self-Managed:** Instance administrators can view cap status and blocked users under **Admin > GitLab Credits**.\n\n## GitLab Duo Agent Platform is ready to scale\n\nUsage controls are available now in GitLab 18.11. If you've been waiting for the right guardrails before expanding GitLab Duo Agent Platform across your organization, this is your moment. Set your caps, roll out Duo Agent Platform to more teams, and start shipping faster!\n\n> [Learn more about GitLab Credits and usage controls](https://docs.gitlab.com/subscriptions/gitlab_credits/).",[10,738,739],"AI/ML","news",{"featured":33,"template":14,"slug":741},"gitlab-18-11-budget-guardrails-for-gitlab-credits",{"content":743,"config":746},{"title":744,"heroImage":734,"description":745,"date":735,"category":10},"GitLab 18.11 release","This release includes Agentic SAST Vulnerability Resolution, Data Analyst Foundational Agent, CI Expert Agent, and more.",{"featured":33,"template":14,"externalUrl":747},"https://docs.gitlab.com/releases/18/gitlab-18-11-released/",{"content":749,"config":756},{"title":750,"description":751,"authors":752,"heroImage":734,"date":735,"body":754,"category":10,"tags":755},"GitLab 18.11: CI Expert and Data Analyst AI agents target development gaps","Set up CI and query your software development lifecycle data with two new GitLab Duo Agent Platform foundational agents available in GitLab 18.11.",[753],"Corinne Dent","AI-generated code moves faster than the systems around it can keep up with. More code means more merge requests queued, more pipelines to configure, more questions about delivery that nobody has time to answer — and most of the tooling teams rely on wasn't built for this pace.\n\nIn GitLab 18.11, two new foundational agents for Duo Agent Platform address specific gaps in the development lifecycle that AI has largely left untouched:\n* CI Expert Agent (now in beta) focuses on the gap between writing code and getting it into a running pipeline\n* Data Analyst Agent (now generally available) focuses on the gap between shipping code and being able to answer basic questions about how that delivery is actually going.\n\n\nThese are problem areas that couldn't be solved by a general-purpose assistant. A tool running outside GitLab can generate a YAML file or answer a question, but it has no awareness of how your pipelines have historically performed, where failures cluster, or what your actual MR cycle times look like. That context lives in GitLab. These agents do too.\n## Fast CI setup with CI Expert Agent\n\nAI has made it easier than ever to write code. Getting that code into a running pipeline is still something most teams do days, or weeks, later — if at all. The blank-page problem isn't in the editor anymore. The blank page is now in `.gitlab-ci.yml`.\n\nDevelopers who have never configured CI don't know what language detection looks like in YAML, what their test commands should be, or how to validate the result before pushing. Teams either copy a config from a previous project that may not fit, stitch together examples from documentation, or wait for the one person who's done it before. If that person isn't available, CI becomes the thing you'll \"get to later.\" Later becomes never.\n\nWhen CI never happens, the impact shows up everywhere else. Changes ship without a reliable safety net, regressions surface in production instead of in pipelines, and work piles up in bigger, riskier batches because no one wants to be the person who “breaks the build.” Over time, teams normalize working in the dark, often relying on undocumented institutional knowledge and ad-hoc testing, instead of having a fast, predictable feedback loop baked into every change.\n\nCI Expert Agent, now available in beta, removes that friction. It inspects your repository, identifies your language and framework, and proposes a working build and test pipeline tailored to what's actually there — then explains every decision in plain language. The target: a running pipeline in minutes, with no YAML written by hand.\n\nWhat CI Expert Agent does:\n\n* Repo-aware pipeline generation detects language, framework, and test setup \n* Generates valid, runnable build and test configurations   \n* Guided first-pipeline flow with plain-language explanation of each step in Agentic Chat  \n* Native GitLab CI semantics with no config translation required\n\nBecause it runs inside GitLab and sees real pipeline behavior over time, each improvement can build on how teams actually work, not just on static examples.\n\u003Ciframe src=\"https://player.vimeo.com/video/1183458036?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=\"CI/CD Expert Agent\">\u003C/iframe>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\u003Cbr>\u003C/br>\n\nCI Expert Agent is available on GitLab.com, Self-Managed, Dedicated; Free, Premium, Ultimate Editions with Duo Agent Platform enabled.\n\n## Query GitLab data in plain language with Data Analyst Agent\n\nAI has sped up how teams ship. Answering basic questions about how that work is going has gotten harder, not easier.\n\nHow long are MRs sitting in review? Which pipelines are slowing teams down? Are deployment targets actually being hit? These questions used to be answerable by glancing at a dashboard. Now, with more code, more teams, and more complexity, the data exists — it's in GitLab — but accessing it still means waiting on an analytics team, filing a dashboard request, or learning GLQL.\n\nData Analyst Agent targets that gap. Ask a natural-language question and get an instant visualization in Agentic Chat. No query language, no dashboard request, no waiting for the answers to be assembled by someone else.\n\nFor example, the agent can answer questions about the following topics for these roles:\n\n* Engineering managers: MR cycle time, throughput by project, where reviews get stuck  \n* Developers: Contribution patterns, flaky tests blocking their MRs, pipeline speed trends  \n* DevOps and platform engineers: Pipeline success/failure rates, runner utilization, deployment frequency  \n* Engineering leadership: Cross-portfolio deployment frequency, project health metrics, lead time comparisons\n\nNow generally available in 18.11, the agent covers MRs, issues, projects, pipelines, and jobs — full software development lifecycle coverage, expanded from the beta scope. Because Data Analyst Agent queries what's already in GitLab, the context is always current, and there's no pipeline to maintain or third-party tool to keep synchronized. Generated GitLab Query Language queries can be copied and used anywhere GitLab Flavored Markdown is supported, with direct export to work items and dashboards on the roadmap.\n\n\u003Ciframe src=\"https://player.vimeo.com/video/1183094817?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=\"Data Analyst agent demo\">\u003C/iframe>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\u003Cbr>\u003C/br>\n\nData Analyst Agent is available on GitLab.com, Self-Managed, Dedicated; Free, Premium and Ultimate Edition with Duo Agent Platform enabled.\n\n## One platform, connected context\n\nBoth agents run inside GitLab, with access to the code, pipelines, issues, and merge requests already there. That's what separates platform-native AI from a disconnected assistant: the context is always current, and it only gets more useful over time. CI Expert Agent and Data Analyst Agent represent two concrete steps toward a platform where AI doesn't just help you write code faster; it helps you understand, ship, and maintain what gets built.\n\n> [Start a free trial of GitLab Duo Agent Platform](https://about.gitlab.com/gitlab-duo/) to experience these foundational AI agents.",[738,27,10],{"featured":13,"template":14,"slug":757},"ci-expert-and-data-analyst-ai-agents-target-development-gaps",{"promotions":759},[760,774,785],{"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":245},"/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",[10,570],"Are you just managing tools or shipping innovation?",{"text":779,"config":780},"Get your DevOps maturity score",{"href":781,"dataGaName":770,"dataGaLocation":245},"/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":789,"text":765,"button":790,"image":794},"security-modernization",[788],"security","Are you trading speed for security?",{"text":791,"config":792},"Get your security maturity score",{"href":793,"dataGaName":770,"dataGaLocation":245},"/assessments/security-modernization-assessment/",{"config":795},{"src":796},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":798,"blurb":799,"button":800,"secondaryButton":805},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":801,"config":802},"Get your free trial",{"href":803,"dataGaName":53,"dataGaLocation":804},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":507,"config":806},{"href":57,"dataGaName":58,"dataGaLocation":804},1776438078696]