If your issue backlog feels personal… it’s probably because you’re the one triaging it. GitLab Duo Agent Platform can: • Read every issue (not just the title) • Flag missing details • Loop in the right teammate • Triage your entire backlog at once. Hundreds of issues.

We’re less than one week out from RSAC in San Francisco. 📍GitLab will be at booth #6453, North Hall Here are two talks you won’t want to miss! 👇

AI is helping developers write code faster than ever. The queue for code reviews hasn't kept up. GitLab Agentic Code Review is now available at a flat cost of $0.25 per review, automatically reviewing merge requests across all groups and projects with full repository, pipeline,

GitLab 18.10 includes the GA of SAST false positive detection for GitLab Ultimate customers using GitLab Duo Agent Platform, to help security and development teams prioritize vulnerabilities that pose a real risk and accelerate remediation. Dive into the details:

AI agents are putting unprecedented load on every major git platform. Multi-tenant SaaS infrastructure is feeling the pressure — ours included. We're hard at work to build-in better performance and scale in prep for the surge of agentic use ahead. But here's the more important

Spoke with a very large enterprise customer last week. Their opening line: “I don’t understand why you’re building DAP..” Their closing line: “This meeting went far better than I thought it would. Let’s talk next steps…” Here’s what happened in between. I started by asking

Your CI/CD pipeline fails. You click "Fix Pipeline with Duo." GitLab Duo debugs the logs, identifies the issue, and opens an MR with the fix. This is what AI agents actually solving dev problems looks like.

Read how centralized policy enforcement can stop supply chain attacks: about.gitlab.com/blog/pipeline-…

In 12 days last month, attackers compromised 4 widely used open source tools through the build pipeline, including an AI model gateway compromised through its own CI/CD pipeline. GitLab built Pipeline Execution Policies to stop this class of attack and made them available to

The bar for platform reliability has never been higher, and recent headlines have reminded us why. One of the unique aspects of 🦊 GitLab is the cloud neutral, deploy anywhere approach we offer, including our fast growing GitLab Dedicated option, which provides high scale, isolated

1/ This is an important one to unpack and frankly, I'm surprised it isn't getting more attention. Did anyone notice the change of pricing by Anthropic recently: support.claude.com/en/articles/97… Translation: no more per-seat pricing for businesses.

Conforme discutido com o Rodrigo Rollemberg C, apaguei o meu post que tratava seu comentário como sendo misógino, quando na verdade ele foi apenas sarcástico. Retratação efetuada antoniotabet.

GitLab is named a Leader in the 2026 Omdia Universe for AI-assisted Software Development, IDE-based Tools Best-in-class scores: 🏆100% Solution Breadth 🏆88% Strategy and Innovation 🏆82% Core Features What separated Leaders from Challengers this year: full SDLC coverage, not

Rivian and Volkswagen Group Technologies run one of the world's largest Gitaly deployments, processing thousands of jobs/sec as they build software-defined vehicles. Every line of code that goes into a car flows through GitLab Dedicated for validation and testing before it

GitLab Duo Agent Platform agents can now call foundation models through Vertex AI, including Gemini. Every agent action is governed by the same controls as your human developers, and you can choose to have usage count toward your existing Google Cloud commitments.

We’re launching two new agents for GitLab Duo Agent Platform in 18.11, available today: CI/CD Expert Agent and the Data Analyst Agent. The CI/CD Expert Agent inspects your repo, understands your stack, and proposes a working build-and-test pipeline with plain-language

Faster code generation hasn't meant faster delivery. GitLab 18.11 helps address that gap with agentic AI across pipelines, security, and delivery analytics. Here are the key changes in this release🧵:

AI adoption can stall when costs aren't predictable. GitLab 18.11 introduces spending caps and per-user budget controls for GitLab Credits, so you can scale GitLab Duo Agent Platform. Set a ceiling. Roll out to more teams. Ship with confidence. Learn more.

Developers spend 11 hrs/month remediating vulnerabilities post-release. With AI accelerating code volume, the problem only gets worse. GitLab 18.11 Agentic SAST Vulnerability Resolution, now GA, filters false positives, generates ready-to-merge code fixes, and validates them