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GitLab Secrets Manager is now generally available.
Built on OpenBao, it keeps build-time and runtime secrets under the permissions and audit trail that govern your code. Each secret reaches only the jobs that declare it and fall within its scope.
Learn more. about.gitlab.com/blog/secret…
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The GitLab MCP server is now generally available.
Any MCP-compatible agent can run core GitLab workflows from the client your team already works in, with dozens of tools across code, merge requests, work items, and pipelines. Each action runs under your existing GitLab permissions.
Read the blog to learn more. about.gitlab.com/blog/mcp-se…
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Speed you can trust, all the way to production.
With GitLab 19.5, you connect any MCP-compatible agent to GitLab from the client your team already uses. You keep secrets under your existing permissions and get every merge request to the right reviewer, faster.
Learn more about the 19.5 release: about.gitlab.com/whats-new
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We are excited to recognize Dhairya Majmudar, a Level 3 contributor, as this month’s Notable Contributor!
Dhairya contributed to offline transfer and Organizations support for import, so that groups, projects, and their memberships can move between GitLab instances. Learn more here: docs.gitlab.com/releases/19/…
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Want to see how GitLab Artifact Central actually works?
Tim Rizzi and Corinne Dent go deep on the architecture, the migration path, and what it means for teams building with AI agents.
Watch the full deep dive, then read more on the blog: about.gitlab.com/blog/transc…
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✨ GitLab Transcend limited-edition merch is here!
Transcend is a moment to celebrate, and now we have merch to match.
From iridescent tanuki tees to travel accessories and customizable macropads, you don’t want to miss this drop. Quantities are limited.
Shop the collection.🛍️ transcendpopupshop.com/
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Your group chat just entered a hackathon 👀.
AI can write the code. Now show us what happens after.
Build something that makes review, testing, security or deployment faster, safer, or smarter for the Life After Code Hackathon. $45K in prizes are up for grabs.
Entries close October 27. Find your path to production:
gitlab-transcend.devpost.com
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Missed GitLab Transcend? No worries, we've got the highlights. ✨
We made more than 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.
Read the blog to see what shipped and how to turn on the new capabilities: about.gitlab.com/blog/transc…
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GitLab Artifact Central lets platform teams assemble the right software the first time. It brings containers and packages into one control plane alongside source code management and CI pipelines.
Teams can set policy once at the organization level, instantly answer what was published, and realize up to 50% lower total cost of ownership compared with alternative tooling. Learn more: about.gitlab.com/blog/transc…
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🚨 Starting in 10 minutes: The Developer Show - Transcend Edition. Don't miss it. Join the livestream. nitter.siddz.com/i/broadcasts/1MJgNbqkL…
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Every enterprise already runs a software factory, but most organizations have built theirs from separate tools for coding, planning, source code control, CI/CD, security, artifact management, and deployment.
As AI agents accelerate software development, that fragmentation creates more handoffs, breaks context, and makes it harder to trace changes, govern what reaches production, or measure the impact of AI investments.
GitLab is announcing the foundation for a governed software factory to help organizations optimize software development so they can move from intent to production with greater speed, governance, and visibility.
See what’s new 🧵
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Today is the day! Join GitLab Transcend for a keynote with @bstaples, alongside GitLab leaders and customer speakers from Barclays and Anthropic. Then stay tuned for an Industry Roundtable hosted by Gene Kim, Founder of IT Revolution, live from the Enterprise AI Summit.
Watch the livestream: about.gitlab.com/events/tran…
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Your agent writes code faster than your team can review, test, secure, and ship it. Congrats, you now have a notification problem 🔔
Tomorrow at GitLab Transcend, we're showing how to get the rest of the lifecycle moving at agent speed, so today's Slack doesn't become every day's Slack.
Register for the livestream here. about.gitlab.com/events/tran…
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October’s Monday Merge is here, and this month we’re talking trust, control, and the next phase of agentic AI.
We’ve spent a lot of time asking what AI agents can do. Write code. Review it. Fix vulnerabilities. Trigger pipelines. Open merge requests. Work toward increasingly complex goals. But as agents gain more autonomy, there’s another question becoming just as important: What should they be allowed to do?
Dive into this and more with Fatima Sarah Khalid in the latest edition of Monday Merge.
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The real battle with writing code with AI is everything that happens after.
Think you can automate the post-code lifecycle? We’re throwing down $45K in prizes 💰
Claim your spot today 👉🏻 gitlab-transcend.devpost.com
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Plot twist: the maze has an exit. 🌀
See a clearer path forward in the era of agentic AI at GitLab Transcend.
Register for the October 6 livestream here 👇
about.gitlab.com/events/tran…
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"Just give the agent full access, it's faster." 😬
That is, until an agent acts on partial context with no governance and no trail back.
GitLab pairs speed with the control, ensuring every action is traceable and every decision grounded in context. about.gitlab.com/ai-accounta…
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AI code agents that guess from similar-looking code can miss whats actually broken.
GitLab Orbit builds one context graph across your code, pipelines, deployments and production so your agent follows real relationships instead. Plus, it works over MCP with any agent you're using.
Watch the demo to learn more, then try it for yourself. about.gitlab.com/demo-hub/
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One week until GitLab Transcend. Live demos on keeping reviews, pipelines, and security checks moving at the pace of agentic AI.
Register for the October 6 livestream here 👇
about.gitlab.com/events/tran…
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.@AnthropicAI Claude Sonnet 5.5 is now live on GitLab Duo Agent Platform, across all tiers and deployment models.
It beats Sonnet 5 on every axis. Try it today.
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Every agent has a job. GitLab keeps every agent's work checked against your standards before it ships.
GitLab gives them the context, guardrails, and platform to work efficiently at every stage, not just the one you're currently watching. Learn more. about.gitlab.com/ai-accounta…
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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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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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.@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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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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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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No single model fits every task. GitLab Duo Agent Platform now offers three hosted open weight models (Kimi K3, MiniMax M3, GLM 5.3) alongside frontier models, getting up to 4x more calls per GitLab Credit than many comparable frontier models and giving teams more model options to match cost to task complexity.
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Handing an agent an open-ended objective has meant trusting it to know when it's done. The new /goal command in GitLab Duo CLI (public beta) verifies its own work.
It automates the objective until it's done or reports what it couldn't resolve. A separate model verifies the work at each step, judging when the goal is met or the iteration limit is hit, all under your project's existing guardrails.
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Small team. Big shipping energy. 👀
For @Boundeal, GitLab doesn’t just help its lean team ship like a much bigger one. It’s also the backbone of a broader control environment built to support enterprise customers and certifications like SOC 2 and ISO.
See how Boundeal built that foundation from day one in the GitLab Startup Program.
👉 about.gitlab.com/customers/b…
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Your AI agent writes code. Just never the way your project actually does it.
GitLab's Duo Agent Platform fixes this with Skills, one file your agent reads every time so it just knows your rules. No repeating yourself every prompt. about.gitlab.com/demo-hub/
🎥 @ania_kubow
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Agents can write code, review changes, and troubleshoot pipelines, but the handoffs between each step still take manual coordination.
Join us at GitLab Transcend, virtual, to see what we're building to reduce the bottleneck between writing code and shipping it.
Register free. Bonus: unlock the Enterprise AI Summit livestream, October 7-8, a $1,600 value. about.gitlab.com/events/tran…
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