Carl Lapierre
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.
Montreal 2027 sessions
From Laptop to Sandbox: Getting Started with Modal Sandboxes
English session - Intermediate
Agent harnesses are easy to run on your machine. Giving them a secure place to work on their own is harder. Using Modal Sandboxes, this talk walks through the move from local agents to isolated, sandboxes with controlled access to code, tools, secrets, and networks. You will learn the building blocks for running harnesses as persistent engineering collaborators instead of as personal assistants.
The Path to an AI-Native Engineering Organization
English session - Beginner
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.
