Presentation: Getting Rid of LeetCode Interviews in the World of AI
Daniel Doubrovkine explains why traditional LeetCode whiteboard interviews fail to evaluate senior engineering talent. He discusses his own experien…
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Presentation: Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI
Jörg Schad explains how to tame the complex "data management hairball" to build scalable, safe architectures for AI. He shares how autonomous data p…
Presentation: From Copy-Paste to Composition: Building Agents Like Real Software
Jake Mannix discusses moving AI agents past chaotic "1970s BASIC" architectures. He shares how implementing an intermediate protocol layer allows en…
Presentation: From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry
Ben O'Mahony discusses building custom AI-powered Language Server Protocols (LSPs) that go beyond standard rule-based checkers. He explains how to i…
Presentation: Postgres for Production Agents: Your Relational Foundation for Enterprise AI
Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to leverage Postgres's multi-moda…
Presentation: Chaos Engineering GPU Clusters
Bryan Oliver discusses the frontier of AI infrastructure: chaos engineering for large-scale GPU clusters. He shares how engineering leaders can hand…
Presentation: The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation
Itamar Friedman discusses how architects and engineering leaders can break through the AI productivity ceiling using adaptive multi-agent systems. H…
Presentation: Fine Tuning the Enterprise: Reinforcement Learning in Practice
The speakers discuss Agent RFT, OpenAI’s platform for fine-tuning reasoning models via real-time tool interactions and custom reward signals. They e…
Presentation: Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs
Cassie Shum discusses the architectural evolution of GraphRAG and why data foundations are critical for advanced AI workflows. She explains how trad…
Presentation: AI Works, Pull Requests Don’t: How AI Is Breaking the SDLC and What To Do About It
Michael Webster discusses the rise of headless AI agents and their impact on software delivery pipelines. He shares how massive, AI-generated pull r…
Presentation: Rules for Understanding Language Models
Naomi Saphra discusses 5 rules governing language model behavior, breaking down why LLMs act like populations rather than individuals. She explains…
Presentation: AI Agents to Make Sense of Data at OpenAI
OpenAI’s Bonnie Xu discusses Kepler, an internal AI data analyst agent built to query 600+ petabytes of data. She explains how they overcome context…
Presentation: From Hype to Strong Foundations: What the Rise, Fall and Resurgence of Agents Can Teach Us About Outlasting the Cycle
Aditya Kumarakrishnan explains how to move past the "amnesia phase" of AI. He shares a blueprint for engineering leaders to build modular agent fram…
Presentation: Moving Mountains: Migrating Legacy Code in Weeks instead of Years
David Stein shares how to rethink large-scale architectural migrations using AI. He discusses ServiceTitan's "assembly line" pattern, explaining how…
Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale
Adi Polak discusses the architecture required to transition from stateless prompts to state-aware, context-rich AI agents. Drawing on 15 years in di…
Presentation: Platform Teams Enabling AI - MCP/Multi-Agentic Tools Across Linkedin
LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering. They explain how to move…
Presentation: Choosing Your AI Copilot: Maximizing Developer Productivity
Sepehr Khosravi discusses the evolution of developer productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains…
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 e…
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…
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 maturit…
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 t…
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, C…
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…
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 "Gen…
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 strateg…
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 m…