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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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Git's storage layer hasn't changed since 2005. The number of agents hammering Git repos today has.
GitLab's Patrick Steinhardt is talking about rebuilding it at Git Merge 2026 in Lisbon on the upstream effort to rebuild Git's storage layer and make it pluggable, unlocking new headroom for scale and agentic workloads.
Learn more. git-merge.com/
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Your coding agents just got faster. Did your reviews, security, and release cycles keep up?
Join GitLab Transcend on October 6 for live demos on scaling agentic AI across the full software lifecycle, from commit to production. about.gitlab.com/events/tran…
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Compliance doesn't need to live in spreadsheets, screenshots, and audit-week dread.
GitLab's custom compliance frameworks let you define controls once and continuously verify them, no manual chasing required.
See how to stand up SOC2 in minutes, plus what's next for AI compliance templates. about.gitlab.com/blog/quick-…
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Coding agents are stuck choosing between RAG or knowledge graphs. Both come with tradeoffs.
GitLab connected the whole pipeline instead, one live graph, updated on every push.
Try it with MCP in Claude Code, Codex, or GitLab directly. about.gitlab.com/demo-hub/
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GPT-6 Astra from @OpenAI is now live on GitLab Duo Agent Platform, across all tiers and deployment models.
Astra completed every task in GitLab’s benchmark evaluation, finishing runs about 40% faster while using 40% fewer tokens. These efficiency gains can save time and AI budget. about.gitlab.com/blog/gpt6-a…
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Two answers in this puzzle say everything about how we think about AI: speed and control. AI made code generation abundant, but delivery didn't get easier. See how GitLab does both at once. about.gitlab.com/why-gitlab/
Can you solve the rest?
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The cosmos has a commit for you. ✨
Today's forecast for GitLab Duo's Planner Agent: your roadmap is full of ambitious possibilities, but not every task needs doing today.
The stars advise you to plan with intent and act with purpose. Let Planner help you prioritize, break down initiatives, and draft status updates so you're working on what actually matters.
Read your full horoscope and learn what Planner can do → docs.gitlab.com/user/duo_age…
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Your AI agent writes code in seconds, then you spend the night fixing a bug you didn't write. It's not the AI's fault, it's the tools: built for one human and one repo, not for how agents actually move.
GitLab brings the context, guardrails, and visibility agents need to ship safely at their own speed. See how: about.gitlab.com/demo-hub/du…
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We reported our Q2 fiscal year 2027 results on September 1, 2026. You can learn more in our full earnings report below:
bit.ly/4y8ner8
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Claude Fable 5.1 from @AnthropicAI is now live on GitLab Duo Agent Platform, across all tiers and deployment models.
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Hackathons aren’t just about coding fast. They’re about building better developers.
Put yourself to the test, take on the challenge, and see how far you can push your ideas, your skills, and the way you build.
You’ll walk away with more than just a finished project ⚡️
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Your AI agent has never seen your codebase fail before, but your senior engineers have. GitLab Orbit closes that gap with a live graph connecting your code, tickets, pipelines, deployments, and production alerts, scanning every past incident to surface the exact pattern the moment an agent hits a failure.
Demo Orbit on the GitLab Demo Hub today. ➡️ about.gitlab.com/demo-hub/du…
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Stop over-provisioning for CI spikes and under-provisioning to save on infrastructure costs. Hosted Runners for GitLab Dedicated gives you isolated, autoscaling runner capacity in the same region as your GitLab Dedicated instance, fully managed by GitLab. about.gitlab.com/blog/hosted…
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As AI accelerates both development and exploitation, GitLab 19.3 brings automation that scales to meet it.
Teams can now deliver secrets wherever they're used, inside CI or out, turn process knowledge into automation without learning a schema, clear their vulnerability backlog in one action, share agents and flows across their organization without making them public, and inject scoped secrets directly into the CI jobs that need them.
✨ What's new in 19.3:
- GitLab Secrets Manager, now in limited availability
- Flow Creator Agent, now in general availability
- Bulk SAST False Positive Detection and Agentic SAST Vulnerability Resolution, now in beta
- Restricted visibility for custom agents and flows, now in general availability
…and more improvements!
Read the full 19.3 release notes: docs.gitlab.com/releases/19/… 🚀
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Your security backlog is growing faster than your team can triage it. GitLab 19.3 extends bulk False Positive Detection and Agentic Vulnerability Resolution to your production vulnerability backlog.
Select multiple vulnerabilities and clear them in one bulk action instead of one at a time.
Remediate your backlog with GitLab today. about.gitlab.com/blog/gitlab…
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Stop waiting on someone else to write your automation.
Flow Creator turns a plain language description into a complete, runnable flow, with no Flow Registry schema experience required. Missing a detail like target project or approval steps? It asks before it builds.
Try Flow Creator in GitLab Duo Agent Platform today. about.gitlab.com/blog/flow-c…
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Restricted visibility for custom agents and flows, now generally available, lets teams roll agents and flows out across an entire top-level group without exposing them publicly. Internal logic stays inside your organization instead of getting rebuilt project by project.
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Get ahead of AI attackers. Remediate production vulnerabilities in your backlog.
Bulk SAST False Positive Detection and Agentic SAST Vulnerability Resolution let teams triage and remediate their entire vulnerability backlog in one action instead of one finding at a time.
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The people who understand a workflow best aren't always the people who know a YAML schema. That gap has kept automation out of reach for a lot of process knowledge.
Flow Creator Agent lets anyone describe an automation in plain English and get back a complete, runnable flow definition, ready to register from the AI Catalog.
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Secrets scattered across a separate permission model create risk teams have to manage on top of the CI job itself.
GitLab Secrets Manager, now in limited availability, injects each secret into the CI job that needs it, scoped to that job's environment and branch, with no separate permission model to maintain.
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Regulated and data-sensitive enterprises can now run agentic AI in their own single tenant environment, with GitLab Dedicated AI Gateway. Alongside it, GitLab 19.3 ships with automation and remediation built to scale for everyone else.
Here's what's new this month🧵:
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Why wait for us to build it when you can build it yourself? 🎉
GitLab Custom Flows give you the flexibility to create workflows that fit the way your team actually works. Set the trigger, build the flow, and let GitLab take it from there.
See it in action in the full demo 👉 piped.video/vGbj86DxUec?si=of8f…
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The first commercial Moon landing made history, and now @Int_Machines is building the software behind every mission that follows.
With GitLab, they have reached four times faster deployments, three times more CI pipeline usage, and two times AI adoption, because when the stakes are this high, every deployment matters.
Read the story. about.gitlab.com/customers/i…
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