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How do you secure an agentic SDLC? GitLab CISO Chaim Mazal joined the Zero Signal Podcast to discuss identity security, why corporate security is now a big industry challenge, and which fundamentals matter most. Listen to the full episode. zerosignalpodcast.com/p/chai…
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Coding agents are speeding up development. Your reviews, security, and release cycles still have to keep pace. Join us at GitLab Transcend on October 6th to see what it takes to carry the speed of agentic AI across the full software lifecycle. Register now. about.gitlab.com/events/tran…
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Software quality conversations can feel abstract. Not at @CSL. GitLab CEO @bstaples talked with Sri Ramachandran, who leads SDLC platforms at CSL, a biotech company building therapies for rare and serious diseases. For his team, software reliability isn't optional, it's tied to whether a therapy reaches a patient.
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Carrefour cut time to market in half with GitLab. That's not all. Release cadence went from monthly to daily, incidents dropped 25%, and developer onboarding went from two to four days down to half a day. See how they built a software factory for scale.
Article

How Carrefour Cut Time to Market in Half with GitLab

As one of the world’s largest retailers, Carrefour relies on software to run critical retail operations every day, from online grocery to in-store checkout. With thousands of stores, complex logistics

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AI agents can clone your entire repo before writing a single line of code, and nothing looks broken. It just doesn't scale. We're fixing that by addressing how agents access code, how they get context, and how you track what they did. Try it for yourself. about.gitlab.com/demo-hub/
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More model choice, delivered fast. GPT-6 Sol and Luna from @OpenAI are now available on GitLab Duo Agent Platform, across all tiers and deployment models. Try them now.
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.@AnthropicAI Claude Opus 5.5 is now live on GitLab Duo Agent Platform, across all tiers and deployment models. Try it now.
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Thank you to those who contribute to GitLab and help make meaningful improvements to the platform. ✨ Check out the release notes to see contributor highlights in 19.4: docs.gitlab.com/releases/19/… 🚀
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"It's not what happens, it's how you deal with it." GitLab CISO Chaim Mazal joined the Lead the Team podcast to share his thoughts on how great leaders stay composed under pressure, build resilient teams, and respond when things don’t go according to plan. Listen to the full episode. piped.video/crWdvsiMUFk?si=XvMt…
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GitLab Transcend is just 2 weeks out, streaming live from Bangalore Oct 6. Join us to see how review, pipelines, artifacts, security checks, and deployments keep pace with agentic coding. Register today. about.gitlab.com/events/tran…
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A long-running refactor needs a large context window and deep reasoning. Routine, high-volume work needs speed and cost efficiency. One model rarely delivers both, so most teams standardize on one and give up ground on the other task type. Three hosted open weight models now join the frontier models already available in GitLab Duo Agent Platform, so your team can match cost efficiency and performance to each task. Learn more in the blog. about.gitlab.com/blog/optimi…
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A subscription cap keeps total spend within budget, it can’t tell you how much AI was used by individual teams. GitLab Credits usage visibility, now generally available, gives you per-user caps, per-team showback, and exports down to the billable event, so every credit traces back to who spent it and on what. Learn more in the blog. about.gitlab.com/blog/new-us…
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Advanced AI models are giving engineering teams the ability to build software that can test, inspect, and improve itself, with verified remediation at machine speed. GitLab CISO Chaim Mazal explains why building the right operating standard can turn that advantage into more trustworthy software: about.gitlab.com/blog/securi…
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The more an agent can do, the more a platform team has to think about what it should be allowed to do. That's a governance problem that usually gets solved by restricting access. GitLab 19.4 introduces a solution. New MCP server tools let any agent run pipelines, open MRs, and triage vulnerabilities in GitLab, governed by the same rules for every agent, internal or third-party. Now in beta. Read the blog to learn more. about.gitlab.com/blog/new-mc…
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Turn-by-turn chat makes you the continue button, reading, redirecting, and repeating until a task is done. GitLab Duo CLI's new /goal command takes the whole objective instead. Describe the outcome, walk away, and come back to a result and a record of what was verified. Learn more. about.gitlab.com/blog/gitlab…
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Learn more about the 19.4 release: about.gitlab.com/whats-new/?…
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GitLab Credits usage visibility gives platform owners the ability to measure and control the cost of agentic automation, with per-user caps and usage exports down to the billable event.
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New GitLab MCP server tools (public beta) let an agent automate full tasks across GitLab end to end, from triggering a pipeline to running a merge request through review and merge, without a person moving it between tools. Read-only tools default to Always Allow. Write and delete tools default to Always Ask, so reviewers keep a checkpoint before anything changes.
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