February 24-26, 2027
Montreal, Canada
The Path to an AI-Native Engineering Organization
AI-native engineering changes more than how developers write code. This talk explores the operating model behind it: shared intelligence, context as code, reusable skills, model routing, evals, traceability, and earned autonomy. We will look at how planning, governance, and human judgment fit together as agents take on more of the SDLC. You will leave with a framework for designing the transition.
Carl Lapierre
Osedea
Carl is a Staff Developer driving innovation through intelligent systems across healthcare, manufacturing, and mining at Osedea. With over a decade of experience in software development, he leads high-impact AI initiatives focused on agentic systems, context engineering architectures, and large language model (LLM) integration, building solutions that enhance decision-making, automation, and adaptability in complex environments.
