The talk archive.

Lifestyles of the AI-Native — Nick Nisi & Zack Proser, WorkOS

Zack Proser · Nick Nisi

Coding agents · Voice AI · Agent orchestration

Orchestras, Not Factories: How the Fastest Builders Work — Charlie Holtz, Conductor

Charlie Holtz

Coding agents · Sandboxes & isolation · Human-in-the-loop validation

From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot

Jose Palafox

Coding agents · Harness engineering · Agent engineering

Sandboxes Aren't Optional: 4 Ways to Isolate Coding Agents — Robert Brennan, OpenHands

Robert Brennan

Coding agents · Agent auth · Safety & governance

Let Your Agent Cook: Using Skills to Evaluate and Improve Your App — Ankur Duggal, Arize AI

Ankur Duggal

Evals · Observability & reliability · Coding agents

What Does an AI Engineer Do Now? - Aparna Dhinakaran, Arize AI

Aparna Dhinakaran

Agent engineering · Software factories · Observability & reliability

Two Bugs That Hid in Plain Sight: A vLLM Debugging Detective Story — Asaf Gardin & Yuval Belfer

Asaf Gardin · Yuval Belfer

Inference · Observability & reliability

SonarQube + OpenAI: Agentic Development — Killian Carlsen-Phelan, Sonar

Killian Carlsen-Phelan

Coding agents · Code review & verification · MCP

Make Your AI Agents Predictable With Graph Engineering - Zachary Blumenfeld, Neo4j

Zachary Blumenfeld

AI Writes More PRs. Who Validates Them? — Ali-Reza Adl-Tabatabai, Sonar

Ali-Reza Adl-Tabatabai

Code review & verification · Developer workflows & testing · Coding agents

Vector Isn't Enough: Hybrid Search & Retrieval — Jeff Vestal & James Williams, Elastic

Jeff Vestal · James Williams

Hybrid search · Vector search · Search & retrieval

The Death of the Code Review: What the Data Actually Says — Laurie Voss, Arize AI

Laurie Voss

Code review & verification · Coding agents · Evals

Agentic Search vs Vector Search for Coding Agents: We Ran the Eval — Braintrust

Jess Wang

Evals · Coding agents · Search & retrieval

The Signal Layer: What to Build When Anything Can Be Built — Lena Hall, Akamai

Lena Hall

Product engineering · AI in sales & marketing

We Trust AI Agents That Break Every Day - Shy Ruparel, Temporal

Shy Ruparel

Observability & reliability · Agent engineering · Infrastructure & deployment

FinOps for AI Agents: Who Spent All the Tokens? — Tisha Chawla & Susheem Koul, Microsoft

Tisha Chawla · Susheem Koul

AI cost & performance · Observability & reliability

I Spent Two Years Building the Median — Hariprasad Sudharshan

Hariprasad Sudharshan

Product engineering · Coding agents · Harness engineering

The Model Swap Workshop: GPT-5.5 vs Kimi vs DeepSeek vs Mistral — Pamela Fox, Microsoft

Pamela Fox

Evals · Agent engineering · Retrieval-augmented generation

Containment Is Lying to You: Measuring AI Agents Like Employees — Druid AI

Dan Bălăceanu

AI engineering leadership · Evals · Safety & governance

Building AI Agents with Real-Time Web Data — Yohan Raju, Bright Data

Yohan Raju

Agent engineering · Data quality & curation · MCP

Cooking with Codex — Charlie Guo & Gabriel Chua, OpenAI

Charlie Guo · Gabriel Chua

Coding agents · Agent orchestration · Agent engineering

Why Frontier Models Fail as Buy-Side Analysts - Janie Gu, Google DeepMind & Suyeol Yun, LinqAlpha

Janie Gu · Suyeol Yun

Benchmarks · Evals · AI in finance

Realtime Voice Agents with Frontier Intelligence — Bohan Li, EliseAI

Bohan Li

Voice AI · AI cost & performance

Building the Engine While Flying the Plane: Launching the Figma MCP Server — Jesse Lumarie, Figma

Jesse Lumarie

MCP · Context engineering · AI interface design

Your Coding Agent Is 6 Months Out of Date — Jakub Hojsan, Exa

Jakub Hojsan

Coding agents · Data quality & curation · Code review & verification

From Scratch to SOTA: Training a 3B State-Space Vision Model — Krishna Prasad Srinivasan, Sarvam

Krishna Prasad Srinivasan

Document understanding & OCR · Vision & video · Synthetic data

Why 80% Reliability Isn't Good Enough — Felipe Blanes, Amazon AGI Lab

Felipe Blanes

Evals · Product engineering · Observability & reliability

Are LLM Performance Benchmarks Reliable? — Ashok Chandrasekar & Jason Kramberger, Google

Ashok Chandrasekar · Jason Kramberger

Benchmarks

From Tokenmaxxing to Trusted Throughput — Mingsheng Hong, Ironclad

Mingsheng Hong

Developer productivity · AI cost & performance · Code review & verification

Decoupling the Brain from the Hands: Claude Managed Agents (Part 1 of 4) — Anthropic

Priyanka Phatak · Gabe Cemaj

Agent engineering · Infrastructure & deployment · Agent orchestration

Tolan: Voice-First AI Companion — Paula Dozsa, Tolan

Paula Dozsa

Voice AI · Personal agents · Agent memory

Why AI Didn't Actually Make You Ship Faster — Gabriel Spencer-Harper, Meticulous

Gabriel Spencer-Harper

Code review & verification · Developer workflows & testing · Browser agents & WebMCP

How We Solved Agent Building — Andrew Qu, Vercel

Andrew Qu

Agent engineering · Agent skills · Natural-language database queries

Build Your Own Team of Managed Agents - Jack Wotherspoon, Google DeepMind

Jack Wotherspoon

Agent engineering · Coding agents · Infrastructure & deployment

What Makes Open Models Fast in Production — Sujee Maniyam, Nebius

Dylan Bristot · Sujee Maniyam

Infrastructure & deployment · Fine-tuning · Open-weight models

Evals in AI: A Deep Dive — Tejas Kumar, IBM

Tejas Kumar

Evals · Agent engineering · Developer workflows & testing