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In this 23-minute conference talk from DSC EUROPE 24, follow Radovan Bacovic's journey developing GitLab Duo, an AI product created under tight deadlines while maintaining high quality standards. Learn about the evolving AI landscape in DevSecOps and future expansion possibilities based on GitLab's experience with over 30 million users. Discover key development lessons including why GitLab embraced LLM and AI technologies, their successful iterative approach, and the importance of "dogfooding" (internal testing before public release). Gain practical insights on when to pivot development and how to measure success beyond buzzwords, focusing on practical outcomes. This candid firsthand account from the GitLab Data Team offers valuable real-world perspectives on the challenges and triumphs of building an AI product that delivers genuine value.
