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Learn how to scale AI tool adoption across large engineering organizations through this conference talk sharing real-world experiences from Doctolib's 6-month transformation journey. Discover practical strategies for implementing AI coding assistants across a 600+ engineer organization, moving from a small 30-engineer pilot to company-wide adoption. Explore the genuine challenges encountered including quality concerns, engineer skepticism, cost management, and environmental considerations, along with proven solutions that actually worked. Understand how to establish an AI Champions program, implement transformative AI Summer Camp initiatives, and identify the metrics that truly matter for measuring success. Master the selection and deployment of multiple AI tools to accommodate different developer preferences, learn to address the 5 critical friction points that can derail AI initiatives, and implement a practical AI Starter Kit with concrete use cases for developers. Gain insights into the innovative LLMs.md approach for providing repository-specific context and examine real KPIs and adoption trends, including how to overcome adoption plateaus. Get transparent insights into cost management, monitoring strategies, and the evolving role of platform teams in driving AI adoption across engineering organizations, with actionable strategies based on authentic experiences from organizational transformation.
