GitLab
DevOps platform for source control, CI and deployment, run as an all-remote company.
About GitLab
GitLab is a software forge primarily developed by GitLab Inc. It is available as either a free software "Community" edition or a proprietary software "Enterprise" edition. Its platform covers planning, source control, and CI/CD. It also includes security scanning such as SAST, SCA, Secret Detection, and DAST.
GitLab was created in 2011 by Ukrainian programmer Dmytro Zaporozhets. GitLab was incorporated in 2014. Bill Staples is its Chief Executive Officer.
Drafted from en.wikipedia.org · not yet confirmed by GitLab
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Track organization-wide security risk in one dashboardFrom their feed
If you run application security across more than one top-level group, getting a single organization-wide view of your risk has meant manually pulling together data. That is operational work rebuilt in spreadsheets and one-off scripts every time someone asks. This manual work is easy to get wrong, and is often out of date the moment it is published. Every hour spent assembling that view is an hour your security team is not spending on strategic work to drive down risk. With GitLab 19.4, the security dashboard now gives you a consolidated view of risk at the organization level. Across every top-
October 8, 2026
GitLab Transcend: Speed you can trust, all the way to productionFrom their feed
At Transcend, we made over a dozen announcements across all four layers of our architecture for agentic software engineering: agent orchestration, data and context, DevOps workflows, and governance and security. Watch the replay , or read on for what shipped and how to turn on the new capabilities. At a glance What we launched Release status What it does Goal-driven flows ( /goal ) GA this month Carry a change through review, tests, scans, and approvals without waiting between stages of the software lifecycle. Custom Flows GA Chain agents together to match the process your teams already follow
October 6, 2026
Dependency Firewall: Block risky packages before the buildFrom their feed
Attackers disguise malicious packages as ones you trust. In June 2026, GitLab researchers found five malicious PyPI packages , four of them typosquats of Flask, Requests, and NumPy, that run at install time and steal CI/CD credentials. Additionally, AI coding agents now add open source dependencies on their own, often unreviewed, so developers don't have oversight into what packages may contaminate your build. Once a malicious or vulnerable package enters your build, its code may run with the same access in your CI pipeline, and it can then reach any system your pipelines touch. GitLab Depende
October 6, 2026
Every artifact your teams ship, assembled right the first timeFrom their feed
Every software build is assembled from open source packages, base images, and libraries, with your code on top. When one of those components is missing or has drifted, the build fails. At agent speed, those failures multiply, and no team can clear them as manual exceptions. Project-by-project registry sprawl makes it worse because retention rules, storage limits, and publish access all live separately inside each project. Project-level design works when a person sets up each registry by hand, but breaks down when agents are running continuously across hundreds of projects. At GitLab Transcend
October 6, 2026
Two front doors: Module-level access in a Django GRC appFrom their feed
GitLab's engineering team builds a lot of our own internal tooling, but one platform in particular forced us to rethink how we handle authorization: our internal GRC tool that serves two very different customer bases under one roof — our Security Compliance team and our Internal Audit team. If you're building or maintaining an internal Django tool that's starting to serve more than one audience — different teams, different data classification levels, different data that shouldn't cross streams — this post walks through the problem we hit, how we solved it, and how you can apply the same patter
October 5, 2026
GitLab and Claude Code: Fast, compliant AIFrom their feed
Government agencies are feeling twin pressures: While the U.S. Office of Management and Budget (OMB) is urging you to deploy AI faster, the U.S. Government Accountability Office (GAO) wants guardrails in place before that happens. To accelerate AI coding, many agencies are turning to AI coding assistants like Anthropic's Claude Code. But what about guardrails? GitLab Duo Agent Platform can govern your entire software development lifecycle, regardless of which model creates your code. The need for speed with control To realize the full potential of AI, government agencies need to eliminate the
September 29, 2026