Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale
Prasanna Vijayanathan and Renzo Sanchez-Silva share how Netflix tackles observability across 38M events/sec. They discuss replacing reactive monitor…
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Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balan…
Presentation: Context Is the New Code
Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treatin…
Presentation: Complexity and Creativity in Software Engineering
Phillip Mortimer discusses the shift toward write-only software driven by AI code generation. He explains why traditional pull requests are broken a…
Presentation: Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review
Sarah Deitke discusses how Duolingo drives cultural AI adoption beyond tooling access. She explains their internal AI literacy workshops and observa…
Presentation: Accelerating Performance by Incrementally Integrating Rust Into Existing Codebase
Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python…
Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation
Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn ho…
Presentation: Continuous Delivery for Foundational Platforms
Ian Nowland discusses why conventional CI/CD practices break down for stateful, core infrastructure. Drawing from his leadership at AWS and Datadog,…
Presentation: SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Bruna Pereira explains how DoorDash built a content-agnostic AI moderation platform. She covers replacing costly LLM-only pipelines with a hybrid pa…
Presentation: Understanding Progressive Collapse: How To Avoid A Cascading Failure
Sam Newman discusses the concept of progressive collapse in civil engineering and how it applies to distributed systems. Using real-world examples -…
Presentation: From Fab To Token - The State Of The Market
Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing fro…
Presentation: Turning Outward: Growing From Code to Influence
Brad Grantham discusses how software engineers and architects can transition from individual contributors to influential technical leaders. Brad sha…
Presentation: Keeping ChatGPT Fast as AI Development Accelerates
Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs o…
Presentation: The Future of Engineering: Mindsets That Matter When Code Isn’t Enough
Ben Greene discusses how software engineers can adapt and thrive in an era of rapid AI code automation. Drawing on his startup experience, he explai…
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: Enhancing Reliability Using Service-Level Prioritized Load Shedding at Netflix
The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized load shedding embedded i…
Presentation: Million PDFs: Building a Modern Document Infrastructure with Rust and Typst
Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how transitioning from reso…
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: 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: 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: Architecting a Centralized Platform for Data Deletion at Netflix
The speakers discuss the architectural challenges of executing safe data deletion across distributed datastores. Balancing durability, availability…
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: Product Thinking for Cloud Native Engineers
Stéphane Di Cesare and Cat Morris share how engineers can move from being a "cost center" to a value driver using product discovery. They explain th…
Presentation: Beyond Coding: How Senior ICs Grow Influence and Drive Impact
Netflix’s Kasia Trapszo discusses the transition from writing code to scaling organizations. She shares lessons on building trust through technical…
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…