When your team is building for regulated markets, “move fast” is not enough. You need to move with visibility, control, and confidence. For Vector Technology Solutions, that meant simplifying DevSecOps with GitLab. Read the full story to see how they made DevSecOps easier to govern with GitLab: https://lnkd.in/eguAyeQr
GitLab
IT Services and IT Consulting
San Francisco, California 1,156,802 followers
Build software faster. The DevSecOps Platform enables your entire org to collaborate around your code. We're hiring.
About us
GitLab is the Intelligent Orchestration Platform where software teams and their AI agents stay in flow to amplify their capacity for innovation. Together, they automate repetitive tasks to plan, build, secure, test, deploy and maintain software. With GitLab, software teams spend less time on coordination overhead and more time on the next big idea. GitLab Duo Agent Platform provides AI agents that automate tasks across the software lifecycle. Agents handle code generation, security analysis, code review, CI/CD troubleshooting, and custom workflows — while teams maintain control through enterprise governance. Build what's next with us. Explore open roles and join our talent community: https://about.gitlab.com/jobs/
- Website
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https://about.gitlab.com/?utm_medium=social&utm_source=linkedin&utm_campaign=profile
External link for GitLab
- Industry
- IT Services and IT Consulting
- Company size
- 1,001-5,000 employees
- Headquarters
- San Francisco, California
- Type
- Public Company
- Founded
- 2014
Products
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GitLab Duo
DevOps Software
A suite of AI-assisted features powering your workflows in every phase of the software development lifecycle. GitLab Duo has more capabilities than any other vendor, helping you secure code faster, improve collaboration, and reduce the security and compliance risks of AI adoption.
Employees at GitLab
View 3k employees at GitLab
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Locations
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268 Bush St
San Francisco, California, US
Updates
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Fable 5 has been redeployed by Anthropic and is again available for customers on GitLab.com. Learn more here: https://lnkd.in/gEm3JW4Y
On day one of its release, Anthropic's first Mythos-class model is now available on GitLab Duo Agent Platform across all tiers and deployment models. Read our blog here: https://lnkd.in/gEm3JW4Y Mythos is Anthropic's frontier capability tier, and Claude Fable 5 is the first one available for general use. In practice, that means agent runs that sustain over days without needing a human to push them forward, first-shot results on the complex work that used to take rounds of iteration, and code review that catches things prior models missed. Early testers reported single-pass implementations of systems that previously took days of back-and-forth.
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AI coding agents underperform when they're missing context. GitLab Orbit fixes that by automatically structuring your code, pipeline history, vulnerabilities, deployments, and production signals into a live lifecycle context graph, so tools like Claude Code and Codex have the full development picture before they act. Compare the Market saw a 21% performance lift for inline code review comments after switching from traditional RAG, without rebuilding their toolchain. Native Duo Agent Platform support and MCP connectivity included. Watch the overview.
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On day one of its release, Claude Sonnet 5 is now available on GitLab Duo Agent Platform across all tiers and deployment models. Read our blog here: https://lnkd.in/gUYKfJw7 Sonnet 5 is the first model in our evaluation suite to handle the full range of coding tasks we tested it on, up from 93.8% for Sonnet 4.6. For teams running GitLab Duo agents in production, this translates to tasks that finish with higher-quality code.
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Agentic engineering at scale needs governable infrastructure that’s built for it. That was the at GitLab Transcend in London. We've pulled together a few standout moments from the event. Swipe through for to see the highlights, then catch the full on-demand re-stream to see what the future of agentic engineering looks like. 🎥 https://lnkd.in/dpz6MWmG
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Alert fatigue is a real threat to security team effectiveness. When too many false positives flood the queue, genuine risks get buried and trust in scan results erodes. GitLab Duo addresses this directly with automatic false positive detection for secret scanning. After every security scan, Duo analyzes critical and high severity findings and delivers an AI assessment right inside the vulnerability report, complete with contextual reasoning and a confidence score. No manual triage overhead. No noise drowning out signal. Teams can also trigger on-demand analysis for individual vulnerabilities from the vulnerability details page, giving full control when it matters most. Watch the demo to see how it works.
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GitLab reposted this
Partner Spotlight: GitLab What does the future of software engineering look like? GitLab is showing what’s next at WeAreDevelopers World Congress in Messe Berlin, 8–10 July. Visit Booth 2-37 to see the GitLab Duo Agent Platform and learn how AI agents, DevSecOps, and end-to-end automation are reshaping how software gets built, secured, and shipped. Bonus: grab a proper coffee at the GitLab Coffee Lounge — hosted by us, fueled by you! Get 20% off your Congress Pass with code WWC26_GITLAB_20: https://lnkd.in/eASBHD33
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There is a specific kind of developer work that isn't hard, it’s just excruciatingly slow. 🥱 Enter ✨ GitLab Duo Agent Platform ✨ It takes over the tedious, mechanical coordination so you can get back to what you actually enjoy: building and shipping code. Watch the full demo video on YouTube to see it in action: https://lnkd.in/ehfTxgcb
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GitLab Orbit is now available in the Google Antigravity MCP Store. This is the same governed knowledge graph that powers GitLab Duo Agent Platform, now available inside Google's agent-first development platform. https://lnkd.in/eFrq7ipG Developers gain one context engine across two surfaces. While working in Antigravity, Ultimate and Premium customers can install Orbit directly from the editor and give their agents structured access to projects, pipelines, merge requests, vulnerabilities, and source code across their GitLab instance. That means no config files, terminal setup, or tab-switching.
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AI made writing code faster. Reviewing it is a different story. GitLab's Manav Khurana breaks down what our newly released AI Accountability Report means for engineering teams and why the next phase of AI in software is about governance, not generation. Read his take. https://lnkd.in/eRk3aEn5