Presentation: Building Evals for AI Adoption: From Principles to Practice
Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She exp…
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Presentation: Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent frameworks. He explains how to…
Presentation: AI Native Engineering
Ian Thomas shares a case study on embracing AI-native engineering within Meta’s Reality Labs. He explains the "Assess and Grow" framework, a maturity …
Presentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the…
Presentation: Using AI as a Thinking Partner for Large-Scale Engineering Systems
Julie Qiu explains how AI serves as a "thinking partner" for engineering leaders. She discusses five distinct roles - Archaeologist, Experimenter, Cri…
Presentation: What I Learned Building Multi-Agent Systems From Scratch
Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains t…
Presentation: Leadership in AI-Assisted Engineering
Justin Reock discusses the reality of AI’s impact on engineering, moving past anecdotes to hard data from DORA and DX research. He explains the "GenAI…
Presentation: AI-First Software Delivery: Balancing Innovation with Proven Practices
Wes Reisz discusses the shift toward AI-first software delivery, emphasizing that agentic workflows are not one-size-fits-all. He explains a strategic…
Presentation: The Next Generation of AI Products
Hilary Mason shares her journey from academia to building AI products at scale. She discusses the shift from discrete engineering to probabilistic min…