This month's Monday Merge: 400% ROI, GitLab 19.2, and why governance is quietly becoming the real AI differentiator.
GitLab
IT Services and IT Consulting
San Francisco, California 1,167,754 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
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.
Locations
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Primary
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268 Bush St
San Francisco, California, US
Employees at GitLab
Updates
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This month's Monday Merge digs into what's actually driving results with agentic engineering, starting with a new Forrester study on GitLab Duo Agent Platform. Organizations interviewed are seeing 400% ROI, 20% gains in developer productivity, and payback in under six months. But the bigger story is what teams are doing with that time back: less manual grinding, more focus on the problems that actually need a human brain. We also break down what's new in GitLab 19.2, from Duo CLI hitting general availability to a Security Review Flow that understands what your code is trying to do, not just what it looks like. And we revisit some of the best moments from Transcend London, including how Mercedes-Benz AG is rolling out GitLab across more than 20,000 engineers while keeping humans accountable for every safety-critical call. Read the full edition and see where agentic engineering is headed next.
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We're on a boat! ⛴️ Yesterday we hosted a customer event at Seafair Seattle where we talked about where AI scale SDLC is headed while the Blue Angels flew past our ferry on Lake Washington. It was a wild backdrop, even better conversations with customers T-Mobile and more on all things GitLab Orbit, GitLab Duo Agent Platform, and our open weight models pledge.
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Manual triage doesn't scale. Every new work item means someone stopping to check team capacity, weigh workloads, and decide where it goes, and that adds up fast as volume grows. This demo shows how the "Work item created" trigger in GitLab Duo Agent Platform changes that. Watch the demo and see a flow fire the instant a work item is created, pull each teammate's current workload using GitLab Orbit, and assign the issue to whoever has the least on their plate, all without a person lifting a finger. Watch the full walkthrough and see it happen in real time.
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If you've ever stared at a pipeline stuck on "pending" wondering what you did wrong, you're in good company. Turns out it almost always comes down to 3 things. We break down exactly what they are (and how to fix each one) in the full video 👉 https://lnkd.in/eWDrfc3g
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How To Win A Hackathon This next episode of The Developer Show will focus on Hackathons. Everything from what makes a good hackathon, how to pick an idea and how to communicate it during presentations
How To Win A Hackathon
www.linkedin.com
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Open weight models let teams control cost, deployment, and data residency, even in air-gapped environments. We think that choice deserves smart, targeted safeguards, not blanket restrictions. Why we signed: https://lnkd.in/gzxaUj_W