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We demoed new platform capabilities live and explored what it takes to carry the speed of agentic AI across the full software lifecycle.\n",[58,61],{"header":59,"content":60},"What you’ll see","### Clear the path from code commit to production\nSee how review, pipelines, artifacts, security checks, and deployments keep pace with agentic coding.\n\n### See agentic workflows run on real codebases, not demo repos\nHear from teams testing this in production: what worked, what broke in review and CI pipelines, and what they changed.\n\n### Decide where your AI budget goes\nGet a clear read on climbing AI bills and credible open-weight model alternatives.\n\n### Automate without losing judgment\nSee how manual, AI-assisted, and autonomous workflows run on one platform, with humans setting direction and stepping in where it matters.\n\n### Scale AI coding to production\nKeep the agentic coding tools your developers love, and see how GitLab helps ship what they produce.\n\n### Prove value, not just activity\nLearn how to measure delivery gains, capacity, and blocked work with agentic AI, so you can defend your investment with data, not just anecdotes.\n",{"header":62,"content":63},"Code of conduct","GitLab is committed to providing a safe and welcoming experience for every attendee at all of our events whether they are virtual or onsite. 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