Ace your planning without the context-switching
Learn how GitLab Duo Planner Agent simplifies tasks and saves time by helping product and engineering managers focus on the work that matters most.| about.gitlab.com
Learn how GitLab Duo Planner Agent simplifies tasks and saves time by helping product and engineering managers focus on the work that matters most.| about.gitlab.com
AI-powered DevSecOps enhanced with autonomous AI agents accelerates developer productivity, application modernization, and innovation.| about.gitlab.com
Transform legacy Java 8 applications to Java 17 in minutes instead of weeks using AI-powered automation.| about.gitlab.com
AI assistants are here, yet measuring AI's impact on productivity isn’t figured out. Here’s why it’s a difficult problem and how GitLab is solving it.| about.gitlab.com
Static application security testing (SAST) is critical to building secure software, helping teams identify vulnerabilities in code before they can be exploited. Last year, with GitLab 17.4, we launched Advanced SAST to deliver higher-quality scan results directly in developer workflows. Since then, Advanced SAST has powered millions of scans across over a hundred thousand codebases, reducing risk and helping customers build more secure applications from the start.| GitLab
GitLab 18.5 delivers new specialized agents, security insights that cut through the noise, and a reimagined interface that keeps your AI teammate always in view.| about.gitlab.com
Our new Duo Chat experience, currently an experimental release, helps developers onboard to projects, understand assignments, implement changes, and more.| about.gitlab.com
Anthropic's fastest model with near-frontier coding performance is a model option for GitLab Duo Pro, Duo Enterprise, and Duo Agent Platform.| about.gitlab.com
Software projects have different evolving needs and requirements. Some have| GitLab
Recently, the GitLab Data team transformed scattered| GitLab
Managing GitLab at scale requires strategic object storage configuration.| GitLab
For the past six years, I've worked on artifact management at GitLab and have had hundreds of conversations with platform engineers trying to solve the same challenge: managing artifacts when they've become a sprawling, expensive mess. What started as simple Docker registries and Maven repositories has evolved into a complex web of tools, policies, and operational overhead that's consuming more time and budget than anyone anticipated.| GitLab
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, 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 singl...| GitLab
Embedded developers know this cycle well: write code, wait days or weeks to test on a hardware test bench, discover bugs, fix them, then wait again. Virtual testing environments promise faster feedback, but most implementations create new problems such as environment sprawl and escalating costs.| GitLab
GitLab now offers Claude Sonnet 4.5, Anthropic’s most advanced model for coding and real-world agents, directly in the GitLab Duo model selector.| GitLab
Defining agentic AI| GitLab
Artificial intelligence (AI) can accelerate development by generating code,| GitLab
For the third consecutive year, GitLab has been named a Leader in the 2025 Gartner® Magic Quadrant™ for DevOps Platforms, based on Ability to Execute and Completeness of Vision. More importantly, GitLab ranks 1st in 4 out of 6 use cases — Agile Software Delivery, Cloud-Native Application Delivery, Platform Engineering, and Regulated Delivery — in the accompanying 2025 Gartner® Critical Capabilities for DevOps Platforms report.| GitLab
As a developer, you know modern development isn't just about writing code — it's about managing change across the entire software development lifecycle.| GitLab
Modern businesses entirely depend on web-based platforms for customer interactions, financial| GitLab
GitLab has been recognized for the second time as a Leader in the 2025 Gartner® Magic Quadrant™ for AI Code Assistants. We see this recognition as validation of a key pillar in our broader AI strategy, where intelligent code assistance evolves into comprehensive AI that transforms how entire teams plan, build, secure, and deploy software.| GitLab
Creating dbt models manually is a tedious process that can consume hours of a data engineer's time. Especially when no (big) business transformations are made, it is not the most attractive part of an engineer's work with data.| GitLab
We're excited to announce that GitLab and Accenture have signed a global reseller agreement, establishing Accenture as an authorized GitLab reseller and Professional Services Provider. This agreement enables Accenture to provide GitLab's complete DevSecOps platform directly to customers through multiple fulfillment channels, including the AWS Marketplace.| GitLab
Learn about this new ISO certification, our associated GitLab Duo features, and our commitment to responsible AI development.| about.gitlab.com
Learn how we're advancing human-AI collaboration with enhanced Flows, enterprise governance, and seamless tool integration.| about.gitlab.com
Uncover breakthroughs from this AI development showcase that combined Google Cloud, MongoDB, and GitLab.| about.gitlab.com
GitLab 18.2 includes support for comprehensive scanner coverage and transitive dependency visualization.| about.gitlab.com
Introducing the DevSecOps orchestration platform designed to unlock asynchronous collaboration between developers and AI agents.| about.gitlab.com
