[{"data":1,"prerenderedAt":822},["ShallowReactive",2],{"/en-us/blog/navigate-repositories-faster-with-the-file-tree-browser":3,"navigation-en-us":38,"banner-en-us":459,"footer-en-us":469,"blog-post-authors-en-us-Talia Armato-Helle":709,"blog-related-posts-en-us-navigate-repositories-faster-with-the-file-tree-browser":724,"blog-promotions-en-us":759,"next-steps-en-us":812},{"id":4,"title":5,"authorSlugs":6,"authors":8,"body":10,"category":11,"categorySlug":11,"config":12,"content":16,"date":23,"description":17,"extension":24,"externalUrl":25,"featured":13,"heroImage":22,"isFeatured":13,"meta":26,"navigation":13,"path":27,"publishedDate":23,"rawbody":28,"seo":29,"slug":15,"stem":33,"tagSlugs":34,"tags":36,"template":14,"updatedDate":25,"__hash__":37},"blogPosts/en-us/blog/navigate-repositories-faster-with-the-file-tree-browser.yml","Navigate repositories faster with the file tree browser",[7],"talia-armato-helle",[9],"Talia Armato-Helle","You spot a file in the repository browser. You click into it, read through the code, and now you need to check something in a different part of the tree. So you hit the back button. Navigate down again. Maybe one more level. You find the next file, click in, and repeat.\n\nIt works. It just gets old fast.\n\nIf you have ever wished the repository browser felt more like your IDE and less like a series of breadcrumb trails, the file tree browser in GitLab 18.9 is for you.\n\n## What the file tree browser does\n\nThe file tree browser adds a collapsible, resizable panel alongside your file and directory views so your project structure stays visible while you read and navigate code. No more losing your place. No more clicking back to figure out where you are.\n\nIt shows your project’s files and directories in a tree alongside the file list and file content so you can see structure and code at the same time.\n\nIf you have used a file tree in an IDE or a Git platform, it should feel familiar:\n\n**Navigate with structure**\n\nExpand and collapse directories and switch between files while keeping a clear view of where you are in the repository hierarchy. When you navigate directly to a nested file, the tree expands parent directories and highlights the current file so you do not lose context. The tree also synchronizes with your current location, so selecting a file in the main content area updates the tree to match.\n\n**Filter by filename**\n\nAfter opening the tree, press `F` to open the global search dialog. Type part of a filename to jump to it from the results list, with each result showing its parent directories so you know where you are landing.\n\n\n**Keyboard-first navigation**\n\nThe tree implements the W3C ARIA treeview pattern, so you can move through files and directories entirely from the keyboard using arrow keys plus Enter, Space, Home, End, and character keys. That makes it more accessible for screen reader users and anyone who prefers to keep their hands on the keyboard.\n\n\n**Responsive across viewports**\n\nOn a desktop, the tree sits side by side with your file list and code. On smaller viewports, it becomes a left-side drawer you can toggle open when you need it. On mobile, the tree is hidden so the code view can use the full screen.\n\n\n**Built for large repositories**\n\nFor repositories with many entries, the tree uses pagination so you can load more items as needed without overwhelming the page. The experience stays responsive as your project grows.\n\n## See the file tree browser in action\n\nWatch GitLab Principal Developer Advocate Michael Friedrich walk through the new file tree browser in GitLab and see how it makes navigating large repositories feel like working in your IDE. The demo uses the [GitLab project: Tanuki IoT Platform](https://gitlab.com/gitlab-da/use-cases/ai/gitlab-duo-agent-platform/demo-environments/tanuki-iot-platform) project, which you can explore yourself to try the file tree in a real repository.\n\n\n\u003Ciframe src=\"https://player.vimeo.com/video/1171188581?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=\"File Tree in Repo Demo\">\u003C/iframe>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n\n## Try the file tree browser today\n\nThe file tree browser is available now on GitLab.com and was released in [18.9](https://docs.gitlab.com/releases/18/gitlab-18-9-released/) for GitLab Self-Managed and GitLab Dedicated.\n\nHere is how to get started:\n\n1. Open any repository file or directory view in your project (`/\u003Cproject>/-/tree/\u003Cbranch>`).\n2. In the upper left corner, select the file tree icon or press `Shift+F` to toggle the file tree browser.\n3. Press `F` to filter files by name or extension, start typing, and use the arrow keys plus `Enter` to jump directly to the file you want.\n\n## What’s next\n\nThe Source Code team at GitLab built the file tree browser with accessibility, performance at scale, and cross-viewport consistency as core requirements. Those principles will continue to guide what comes next, and your feedback will help us shape future iterations.\n\n## Help us continue to improve the file tree browser\n\nShare your thoughts about the file tree browser in [our feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/581271).\n\n\n> Want to learn more about the file tree browser? Read the [file tree browser documentation](https://docs.gitlab.com/user/project/repository/files/file_tree_browser/).\n","product",{"featured":13,"template":14,"slug":15},true,"BlogPost","navigate-repositories-faster-with-the-file-tree-browser",{"title":5,"description":17,"authors":18,"category":11,"tags":19,"body":10,"heroImage":22,"date":23},"Learn all about this new collapsible feature to increase visibility and simplify navigation, available across GitLab.com, GitLab Self-Managed, and GitLab Dedicated.",[9],[20,11,21],"features","DevSecOps","https://res.cloudinary.com/about-gitlab-com/image/upload/v1773075582/yiosxfhwk8rfkulrtchv.png","2026-03-09","yml",null,{},"/en-us/blog/navigate-repositories-faster-with-the-file-tree-browser","seo:\n  config:\n    noIndex: false\n  title: Navigate repositories faster with the file tree browser\n  description: Learn all about this new collapsible feature to increase visibility\n    and simplify navigation, available across GitLab.com, Self-Managed, and Dedicated.\ncontent:\n  title: Navigate repositories faster with the file tree browser\n  description: Learn all about this new collapsible feature to increase visibility\n    and simplify navigation, available across GitLab.com, GitLab Self-Managed, and GitLab Dedicated.\n  authors:\n    - Talia Armato-Helle\n  category: product\n  tags:\n    - features\n    - product\n    - DevSecOps\n  body: >\n    You spot a file in the repository browser. You click into it, read through\n    the code, and now you need to check something in a different part of the\n    tree. So you hit the back button. Navigate down again. Maybe one more level.\n    You find the next file, click in, and repeat.\n\n\n    It works. It just gets old fast.\n\n\n    If you have ever wished the repository browser felt more like your IDE and less like a series of breadcrumb trails, the file tree browser in GitLab 18.9 is for you.\n\n\n    ## What the file tree browser does\n\n\n    The file tree browser adds a collapsible, resizable panel alongside your file and directory views so your project structure stays visible while you read and navigate code. No more losing your place. No more clicking back to figure out where you are.\n\n\n    It shows your project’s files and directories in a tree alongside the file list and file content so you can see structure and code at the same time.\n\n\n    If you have used a file tree in an IDE or a Git platform, it should feel familiar:\n\n\n    **Navigate with structure**\n\n\n    Expand and collapse directories and switch between files while keeping a clear view of where you are in the repository hierarchy. When you navigate directly to a nested file, the tree expands parent directories and highlights the current file so you do not lose context. The tree also synchronizes with your current location, so selecting a file in the main content area updates the tree to match.\n\n\n    **Filter by filename**\n\n\n    After opening the tree, press `F` to open the global search dialog. Type part of a filename to jump to it from the results list, with each result showing its parent directories so you know where you are landing.\n\n\n\n    **Keyboard-first navigation**\n\n\n    The tree implements the W3C ARIA treeview pattern, so you can move through files and directories entirely from the keyboard using arrow keys plus Enter, Space, Home, End, and character keys. That makes it more accessible for screen reader users and anyone who prefers to keep their hands on the keyboard.\n\n\n\n    **Responsive across viewports**\n\n\n    On a desktop, the tree sits side by side with your file list and code. On smaller viewports, it becomes a left-side drawer you can toggle open when you need it. On mobile, the tree is hidden so the code view can use the full screen.\n\n\n\n    **Built for large repositories**\n\n\n    For repositories with many entries, the tree uses pagination so you can load more items as needed without overwhelming the page. The experience stays responsive as your project grows.\n\n\n    ## See the file tree browser in action\n\n\n    Watch GitLab Principal Developer Advocate Michael Friedrich walk through the new file tree browser in GitLab and see how it makes navigating large repositories feel like working in your IDE. The demo uses the [GitLab project: Tanuki IoT Platform](https://gitlab.com/gitlab-da/use-cases/ai/gitlab-duo-agent-platform/demo-environments/tanuki-iot-platform) project, which you can explore yourself to try the file tree in a real repository.\n\n\n\n    \u003Ciframe src=\"https://player.vimeo.com/video/1171188581?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=\"File Tree in Repo Demo\">\u003C/iframe>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n\n\n    ## Try the file tree browser today\n\n\n    The file tree browser is available now on GitLab.com and was released in [18.9](https://docs.gitlab.com/releases/18/gitlab-18-9-released/) for GitLab Self-Managed and GitLab Dedicated.\n\n\n    Here is how to get started:\n\n\n    1. Open any repository file or directory view in your project (`/\u003Cproject>/-/tree/\u003Cbranch>`).\n\n    2. In the upper left corner, select the file tree icon or press `Shift+F` to toggle the file tree browser.\n\n    3. Press `F` to filter files by name or extension, start typing, and use the arrow keys plus `Enter` to jump directly to the file you want.\n\n\n    ## What’s next\n\n\n    The Source Code team at GitLab built the file tree browser with accessibility, performance at scale, and cross-viewport consistency as core requirements. Those principles will continue to guide what comes next, and your feedback will help us shape future iterations.\n\n\n    ## Help us continue to improve the file tree browser\n\n\n    Share your thoughts about the file tree browser in [our feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/581271).\n\n\n\n    > Want to learn more about the file tree browser? 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The model is simple: GitLab acts as your orchestration layer to help accelerate your entire software lifecycle with agentic AI, and Bedrock is designed to provide a secure, compliant foundation model layer with AI inference behind the scenes.\n\nGitLab Duo Agent Platform enables you to handle planning, merge pipelines, security scanning, vulnerability remediation, and more as part of your GitLab workflows, while the GitLab AI Gateway routes model calls to Bedrock (or GitLab-managed Bedrock-backed endpoints, depending on your setup). That means you can build on the identity and access management (IAM) policies, virtual private cloud (VPC) boundaries, regional controls, and cloud spend commitments you already have in AWS.\n\nIf you already use Amazon Bedrock and want AI to help inside the work you already do in GitLab, not in yet another standalone chat tool, this is the pairing for you.\n\n\nIn this article, we look at the real problem many teams face today: AI is fragmented, data paths are fuzzy, and Bedrock investment gets underused when AI sits outside the software development lifecycle. Then we break down your deployment options for GitLab Duo Agent Platform:\n\n* Integrated with self-hosted models on Amazon Bedrock for GitLab Self-Managed deployments and self-hosted AI gateway   \n* Integrated with GitLab-operated models on Amazon Bedrock (with GitLab-owned keys) for GitLab Self-Managed deployments and GitLab-hosted AI gateway  \n* Integrated with GitLab-operated models on Amazon Bedrock (with GitLab-owned keys) for GitLab.com instances and GitLab-hosted AI gateway\n\nWe wrap with a summary on how this approach helps avoid shadow AI and point-tool sprawl without creating a parallel tech stack for AI tooling.\n\n## AI everywhere, control nowhere\n\nSomewhere in your company right now, software teams might be using an AI tool that your security team hasn't approved. Prompt data might be leaving your environment through a path no one has fully mapped. And your organization’s Amazon Bedrock investment might be underused while individual teams expense separate AI tools, pulling workloads and cloud spend away from the platforms you’ve already committed to.\n\nInstead of being a people problem, this might be an architecture problem. And it surfaces the same three constraints in nearly every enterprise:\n\n**Operational fragmentation.** Each team, or sometimes even an individual developer, picks their own development toolset, including AI tooling and model selection. That fragmentation makes end-to-end governance within the software development lifecycle nearly impossible.\n\n**Security and sovereignty.** Where does prompt and code data actually flow? Who owns the logs?\n\n**Cloud spend optimization.** Commitments to key cloud providers like AWS are diluted as workloads and AI usage drift to point tools outside of customers’ existing agreements.\n\nGitLab Duo Agent Platform and Amazon Bedrock help solve this together. The division of labor is straightforward: Duo Agent Platform owns the workflow orchestration with agentic AI for software development, Bedrock owns the inference layer and hosts approved foundational models, and your organization has full control over the data and policy boundaries you already defined in AWS. Three jobs, three owners, no fragmentation.\n\n## GitLab Duo Agent Platform: The agentic control plane\n\nGitLab Duo Agent Platform is GitLab's agentic AI layer: a framework of specialized agents and flows that operate simultaneously and in-parallel, going beyond the traditional stage-based handoffs  and helping automate work across the entire software lifecycle. Rather than a single assistant responding to prompts, Duo Agent Platform enables teams to orchestrate many AI agents asynchronously using unified data and project context, including issues, merge requests, pipelines, and security findings. Linear workflows are turned into coordinated, continuous collaboration between software teams and their AI agents, at scale.\n\nWith that control plane in place, the natural next question is which AI foundation should power these agents. For customers who run GitLab Self-Managed on AWS and need inference traffic, prompt data, and logs to also stay within their AWS environment along with their software lifecycle data, Amazon Bedrock acting as the AI inference layer is the natural fit. \n\n## Amazon Bedrock: The trusted AI foundation\n\nAmazon Bedrock is a fully managed, serverless foundation model layer that runs entirely within your AWS environment. Customer data stays in the customer's AWS account: inputs and outputs are encrypted in transit and at rest, never shared with model providers, and never used to train base models. Bedrock carries compliance certifications across GDPR, HIPAA, and FedRAMP High, covering many regulated industry requirements out of the box. Teams can also bring fine-tuned models from elsewhere via Custom Model Import and deploy them alongside native Bedrock models through the same infrastructure, without managing separate deployment pipelines. Bedrock Guardrails adds configurable safeguards across all models for content filtering, hallucination detection, and sensitive data protection.\n\nTogether, GitLab Duo Agent Platform and Bedrock consolidate DevSecOps orchestration and AI model governance, helping eliminate the fragmentation that happens when teams roll out AI tools independently.\n\n## Choosing your deployment path\n\nThe integration delivers the same core GitLab Duo Agent Platform capabilities regardless of how it is deployed. What varies is who runs GitLab, who operates the AI Gateway, and whose Bedrock account the inference runs through. The right pattern depends on where your organization already operates.\n\nAt a high level, the integration has three main components:\n\n* **GitLab Duo Agent Platform:** agentic workflows embedded across the software development lifecycle  \n* **AI Gateway (GitLab-managed or self-hosted):** the abstraction layer between Duo Agent Platform and the foundational model backend   \n* **Amazon Bedrock:** the AI model and inference substrate\n\n![Deployment of GitLab and AWS Bedrock](https://res.cloudinary.com/about-gitlab-com/image/upload/v1776362365/udmvmv2efpmwtkxgydch.png)\n\nChoosing a deployment pattern is informed by where an organization wants to place the levers of control. The patterns below are designed to meet teams where they already are, whether that's SaaS-first, self-managed for compliance, or all-in on AWS with existing Bedrock investments.\n\n| Deployment Model | GitLab.com instance with GitLab-hosted AI Gateway with GitLab-operated Bedrock models   | GitLab Self-Managed with GitLab-hosted AI Gateway with GitLab-operated Bedrock models | GitLab Self-Managed  with self-hosted AI Gateway and customer-operated Bedrock models |\n| :---- | :---- | :---- | :---- |\n| **Ideal if you:** | Are primarily on GitLab.com and don’t want to self-host AI gateway and Bedrock models  | Need GitLab Self-Managed for compliance and operational reasons but don’t want to manage AI layer | Are AWS-centric with existing Bedrock usage and strict data/control needs  |\n| **Key Benefits** | Fastest, turnkey way to get Duo Agent Platform workflows: GitLab runs GitLab.com, the AI Gateway, integrated with Bedrock AI models. | Keep GitLab deployed in your own environment while consuming Bedrock models via a GitLab-managed AI Gateway, combining deployment control with simplified AI operations. | Run GitLab and AI Gateway in your AWS account, reuse existing IAM/VPC/regions, keep logs and data in your environment, and draw Bedrock usage from your existing AWS spend commitments. |\n\n## How customers use GitLab Duo Agent Platform with Amazon Bedrock\n\nPlatform teams can use GitLab Duo Agent Platform with Amazon Bedrock to standardize which models handle code suggestions, security analysis, and pipeline remediation. This helps enforce guardrails and logging centrally rather than letting individual teams adopt separate tools independently.\n\nSecurity workflows see particular benefit. GitLab Duo Agent Platform agents can propose and validate fixes for security findings within GitLab, helping reduce the manual triage work developers would otherwise handle outside the platform.\n\nFor enterprises already committed to AWS, routing AI workloads through Bedrock from within GitLab enables you to keep developer AI usage aligned with existing cloud agreements rather than generating separate, unplanned spend.\n\n## Closing the loop\n\nThe constraints that slow enterprise AI adoption are often not technical. They are organizational: fragmented tooling, ungoverned data flows, and cloud spend that never consolidates. Those are the problems that can stall AI programs even after the pilots succeed.\n\nGitLab Duo Agent Platform and Amazon Bedrock help address each one directly. Platform teams get consistent governance, auditability, and standardized paths for AI usage across the software development lifecycle. Development teams get streamlined, agentic workflows that feel native to GitLab. And AWS-centric organizations get to extend their existing Bedrock investment rather than build parallel AI infrastructure alongside it.\n\nThe result is an AI program that scales without fragmenting. Governance and velocity on the same stack, serving the same teams, under policies the organization already owns.\n\n\n> To explore which deployment pattern is right for your organization and how to align GitLab Duo Agent Platform and Amazon Bedrock with your existing AWS strategy, [contact the GitLab sales team](https://about.gitlab.com/sales/) and we’ll help you design and implement the best architecture for your environment. You can also [visit our AWS partner page](https://about.gitlab.com/partners/technology-partners/aws/) to learn more.",[286,750,751],"AWS","AI/ML","2026-04-21",[754,755],"Joe Mann","Mark Kriaf","https://res.cloudinary.com/about-gitlab-com/image/upload/v1776362275/ozbwn9tk0dditpnfddlz.png",{"featured":13,"template":14,"slug":758},"gitlab-amazon-platform-orchestration-on-a-trusted-ai-foundation",{"promotions":760},[761,775,786,798],{"id":762,"categories":763,"header":765,"text":766,"button":767,"image":772},"ai-modernization",[764],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":768,"config":769},"Get your AI maturity score",{"href":770,"dataGaName":771,"dataGaLocation":249},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":773},{"src":774},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":776,"categories":777,"header":778,"text":766,"button":779,"image":783},"devops-modernization",[11,35],"Are you just managing tools or shipping innovation?",{"text":780,"config":781},"Get your DevOps maturity score",{"href":782,"dataGaName":771,"dataGaLocation":249},"/assessments/devops-modernization-assessment/",{"config":784},{"src":785},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":787,"categories":788,"header":790,"text":766,"button":791,"image":795},"security-modernization",[789],"security","Are you trading speed for security?",{"text":792,"config":793},"Get your security maturity score",{"href":794,"dataGaName":771,"dataGaLocation":249},"/assessments/security-modernization-assessment/",{"config":796},{"src":797},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":799,"paths":800,"header":803,"text":804,"button":805,"image":810},"github-azure-migration",[801,802],"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. 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