2026 Schedule
Preliminary Schedule. The schedule is subject to change.
Monday, June 1st, 2026
Badge Pick-up (Stone Lobby) & Breakfast (Ziskind Lounge) - 1st Floor
Break - Snacks & Coffee Available in Ziskind Lounge
SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Trust and safety challenges become exponentially harder at marketplace scale, especially when interactions happen in real time.
Beyond Prompting: Context Engineering for Production-Grade AI
If you're building production-grade AI applications, you may know an uncomfortable truth: reliable LLM outputs require far more than clever prompting.
Zero Trust Agent Systems that Pass Audits and Still Ship
Most agentic AI demos assume a greenfield environment. In a real enterprise, agents run inside strict boundaries where security, compliance, and incident response are non-negotiable.
Break
Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
AI coding agents are powerful out of the box, but they don't know your company. They can't navigate your services, understand your frameworks, query your data systems, or follow your organizational processes.
Serving LLMs at Scale: The Hidden KV Cache Advantage
KV cache is the hidden lever behind inference cost and performance. It directly impacts GPU utilization, throughput, and Time to First Token.
From Natural Language to Trusted AI: A Hybrid Architecture for Safe, Accurate, and Context-Aware AI Query Generation
Modern enterprises want everyone, not just data engineers, to be able to ask questions of their data. But turning natural language into reliable, secure, and business-aware queries is far from simple.
Lunch
Opening the Black Box: Critical Explainability for AI Agent Tool Selection with Kiji Inspector
AI agents that autonomously select and invoke tools are becoming ubiquitous—yet their decision-making remains a black box. When an agent chooses to query a database instead of searching the web, what internal representations drive that choice?
There's a Mod for That: Opening Up AI Agent Development
AI agents are moving amazingly fast — but they could be moving even faster. Today's agents are monolithic: one vendor controls the model, the tools, and the context pipeline. That works, but it leaves an enormous amount of potential on the table.
Break
From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
Consumer AI is rapidly evolving beyond one-shot predictions toward systems that reason, plan, and adapt in real time.
Break - Snacks & Coffee Available in Ziskind Lounge
Beyond the Prototype: Scaling Frame Agnostic AI Agent Infrastructure with Ray
Building an AI agent is easier than ever. However, moving from a local notebook to a production-grade "Agent Engine" that serves large scale web services poses complex problems.
Keeping Engineers Engaged When the Machine Does the Heavy Lifting
Details coming soon.
Metcalf Hall Small
How Retailers are Using Multimodal AI to Predict Consumer Desires, Not Just Search
Details coming soon.
Conference Auditorium
Attendee Social - Snacks & Beverages - Located in Ziskind Lounge
Tuesday, June 2nd, 2026
Badge Pick-up (Stone Lobby) & Breakfast (Ziskind Lounge) - 1st Floor
Conference Introduction and Keynote:
The Five Stages of AI Maturity in Engineering Organizations — Where and Why Teams Get Stuck
Break - Snacks & Coffee Available in Ziskind Lounge
From Fab To Token - The State Of The Market
This talk delivers a data-driven summary on the physical and economic bottlenecks in the AI infrastructure market today. We will cover the diverging strategies between traditional hyperscalers and specialized "Neoclouds," supported by deep supply chain data.
Building GenAI Platform at DoorDash
When we started adopting LLMs across DoorDash, every team was implementing the same infrastructure: retry logic, fallback mechanisms, cost tracking, prompt versioning, and batch processing pipelines. Engineering time was wasted on repetitive plumbing work instead of building features.
Adaptive Recommenders in the Real World: Inference, Evals, and System Design
Modern personalization systems are shifting from hand-tuned heuristics to AI-native architectures, but building an adaptive recommendation engine in production—one that continuously learns, evolves, and delivers measurable business value—requires far more than deploying a model.
AI First, Quality Always: Agentic SDLC Adoption Case Study
Every engineering organization is under pressure to go "AI First" — fast. But the rush to show AI-driven productivity creates a dangerous incentive: measure speed and volume instead of quality and trust.
Break
Building Reusable Evaluation Frameworks for Agentic AI Products
This talk covers methods of evaluating AI Agents, with an example of how we built evaluation frameworks for a user-facing AI Agent system that has been in production for almost two years.
From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs
The evolution of AI systems is shifting from simple retrieval to autonomous reasoning.
From Hype to Habit: Conquering AI Adoption at Zoox
Most organizations have purchased AI developer tools. Most are disappointed with adoption. The problem usually isn't the tool, it's that we treat AI adoption like a software rollout when it's actually a behavior change problem.
Lunch
Scaling LLM-Based Ranking Systems for Latency-Critical Search & Recommendation Workloads
Large Language Models are powerful — but deploying them in latency-critical ranking systems is a fundamentally different problem than building chat applications.
Break
What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
Most AI coding tools are benchmarked on capability. But capability doesn't predict adoption. At Kilo Code, we've processed over 25 trillion tokens across 1.5M+ developers, giving us one of the clearest real-world datasets on how engineering teams actually integrate AI into their workflows.
Traceability in the Age of Agents: Building Full-Stack Logging for Multi-Step Workflows
Details coming soon.
Metcalf Hall Small
Why Human-Verified Content is Becoming the New Luxury Good
Details coming soon.
Conference Auditorium
Break - Snacks & Coffee Available in Ziskind Lounge
The Emergence of Industry-Specific AI Certification and Auditing
Details coming soon.
Metcalf Hall Small
Unconference Session: Brainstorming with Peers
What is Unconference?Unconference sessions are a simple way to run productive meetings for 5 to 2000 or more people, and a powerful way to lead any kind of organization in everyday practice and extraordinary change.
Terrace Lounge
Closing Reception - Snacks & Beverages - Located in Ziskind Lounge