AI Engineer World's Fair 202517:06
12-Factor Agents: Patterns of reliable LLM applications
Dex Horthy
Architecture · APIs, MCP, and protocols · RAG, context, and search
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AI Engineer topic
Observability and reliability
111 AI Engineer conference talks about Observability and reliability.
AI Engineer World's Fair 202520:55
3 ingredients for building reliable enterprise agents
Harrison Chase
Evals · Coding and developer tools · Agent engineering
AI Engineer World's Fair 202525:39
7 Habits of Highly Effective Generative AI Evaluations
Justin Muller
Reasoning and models · Evals · Observability and reliability
AI Engineer Summit 202520:50
Agents are built at the fringe: getting from 90 to 100
Kevin Hou
Coding and developer tools · RAG, context, and search · Observability and reliability
AI Engineer World's Fair 202630:14
Agents Building Agents
Alfonso Graziano
Architecture · Agent engineering · Evals
AI Engineer World's Fair 202633:39
AI Agents for Performance: Ship Faster, Pay Less
Rajat Shah
Infrastructure and deployment · Agent engineering · RAG, context, and search
AI Engineer Summit 202529:10
AI Agents, Meet Test Driven Development
Anita Kirkovska
RAG, context, and search · Coding and developer tools · Observability and reliability
AI Engineer Summit 20231:43:16
AI Engineering 201: Inference
Charles Frye
Infrastructure and deployment · Observability and reliability · Reasoning and models
AI Engineer World's Fair 202624:56
Always-on agents run production without the on-call tax
Justin Smith
Infrastructure and deployment · Observability and reliability · Coding and developer tools
AI Engineer World's Fair 202514:25
Break It 'Til You Make It: Building the Self-Improving Stack for AI Agents
Aparna Dhinakaran
Evals · Reasoning and models · RAG, context, and search
AI Engineer World's Fair 202527:02
Breaking the Chain: Agent Continuations for Resumable AI Workflows
Greg Benson
Agent engineering · Reasoning and models · Coding and developer tools
AI Engineer Code 202552:08
Build a Prompt Learning Loop
SallyAnn DeLucia · Fuad Ali
Observability and reliability · RAG, context, and search · Evals
AI Engineer World's Fair 202624:23
Build for the Memo, Not the Demo — Notes from 200 Investment Committees
Shawn Chan
Finance · Leadership · Observability and reliability
AI Engineer Europe 20261:08:15
Build Your First Demand-Driven Context Base: Let AI Agents Tell You What They Need
Raj Navakoti
RAG, context, and search · Coding and developer tools · Observability and reliability
AI Engineer Europe 202618:22
Building a Chess Coach
Anant Dole · Asbjørn Steinskog
Agent engineering · Other / unclassified · Creative and generative media
AI Engineer World's Fair 202515:50
Building Applications with AI Agents
Michael Albada
Observability and reliability · Architecture · Evals
AI Engineer World's Fair 202621:39
Building Closed-Loop Evals for a Multimodal Agent at Uber Scale
Soumya Gupta · Jai Chopra
Observability and reliability · Evals · Safety and governance
AI Engineer World's Fair 20267:14
Building Deterministic Infrastructure for Non-Deterministic AI Agents
Nishant Gupta
Observability and reliability · Infrastructure and deployment · RAG, context, and search
AI Engineer Code 20251:09:49
Building durable Agents with Workflow DevKit & AI SDK
Peter Wielander
Observability and reliability · Infrastructure and deployment · Enterprise
AI Engineer Code 20251:18:30
Building Durable, Production-Ready Agents with OpenAI SDK and Temporal
Cornelia Davis
Agent engineering · Infrastructure and deployment · APIs, MCP, and protocols
AI Engineer World's Fair 20241:07:23
Building & Scaling an AI Agent Swarm of low latency real time voice bots!
Damien Murphy
Agent engineering · Speech and audio · Developer workflows and testing
AI Engineer World's Fair 202645:48
Bypassing the Multimodal Tax: Framework-Free Hybrid RAG, Raw SQL RRF, and Live UI Telemetry
Abed Matini
RAG, context, and search · Observability and reliability · Developer workflows and testing
AI Engineer World's Fair 202615:12
Chat and citations won't save your vertical AI
Atul Ramachandran
Agent engineering · Observability and reliability · Safety and governance
AI Engineer Code 202516:41
Code World Model: Building World Models for Computation
Jacob Kahn
Architecture · Coding and developer tools · Observability and reliability
AI Engineer World's Fair 202418:29
Compute & System Design for Next Generation Frontier Models
Dylan Patel
RAG, context, and search · Observability and reliability · Infrastructure and deployment
AI Engineer World's Fair 202514:40
Conquering Agent Chaos
Rick Blalock
Observability and reliability · Coding and developer tools · APIs, MCP, and protocols
AI Engineer Code 202523:52
Context Platform Engineering to Reduce Token Anxiety — Val Bercovici and Callan Fox, WEKA
Val Bercovici · Callan Fox
RAG, context, and search · Infrastructure and deployment · Observability and reliability
AI Engineer World's Fair 202619:46
Designing Agents (The Floor Is the Frontier)
Ben Hylak
Evals · Infrastructure and deployment · Agent engineering
AI Engineer Code 20251:13:13
DSPy: The End of Prompt Engineering
Kevin Madura
RAG, context, and search · Observability and reliability · Coding and developer tools
AI Engineer World's Fair 202516:41
Effective AI Agents Need Data Flywheels, Not The Next Biggest LLM – Sylendran Arunagiri, NVIDIA
Sylendran Arunagiri
Architecture · Agent engineering · Observability and reliability
AI Engineer Code 202520:19
Efficient Reinforcement Learning
Rhythm Garg · Linden Li
Data and model adaptation · Infrastructure and deployment · Observability and reliability
AI Engineer World's Fair 202616:33
Emulated: The data for fully autonomous software engineers and companies
Joseph Wang · Sid
Data and model adaptation · Developer workflows and testing · Observability and reliability
AI Engineer World's Fair 202616:30
Ending AI Slop
Thais Castello Branco
Observability and reliability · Safety and governance · Enterprise
AI Engineer Summit 202520:00
Building and evaluating AI Agents That Matter
Sayash Kapoor
Other / unclassified · Evals · Infrastructure and deployment
AI Engineer Europe 202650:25
Everything You Need To Know About Agent Observability
Danny Gollapalli · Ben Hylak · Zubin Koticha
Observability and reliability · Coding and developer tools · Other / unclassified
AI Engineer Europe 202610:11
Feedback Loops are All You Need
Mehedi Hassan
Architecture · Speech and audio · Observability and reliability
AI Engineer World's Fair 202620:24
From Agent Traces to Agent Simulations — Rustem Feyzkhanov, Snorkel AI
Rustem Feyzkhanov
Evals · RAG, context, and search · Observability and reliability
AI Engineer Europe 202626:29
From Chaos to Choreography: Multi-Agent Orchestration Patterns That Actually Work — Sandipan Bhaumik
Sandipan Bhaumik
Agent engineering · Observability and reliability · Infrastructure and deployment
AI Engineer Europe 202625:26
From MCP to Scale: Pipelines That Build Themselves
Rafael Levi
Agent engineering · APIs, MCP, and protocols · Coding and developer tools
AI Engineer World's Fair 202617:46
From RL to IRL — Gaurav Mishra, Amazon AGI Lab
Gaurav Mishra
Coding and developer tools · Safety and governance · Observability and reliability
AI Engineer World's Fair 202620:36
From Signal to PR: Anatomy of a Self-Improving Agent
Jason Lopatecki
Observability and reliability · Coding and developer tools · Safety and governance
AI Engineer World's Fair 202519:12
Fuzzing in the GenAI Era
Leonard Tang
Evals · Speech and audio · Reasoning and models
AI Engineer Code 202513:39
Hacking Subagents Into Codex CLI — Brian John, BetterUp
Brian John
Coding and developer tools · Observability and reliability · Agent engineering
AI Engineer Europe 202620:43
How agent o11y differs from traditional o11y
Phil Hetzel
Agent engineering · RAG, context, and search · Observability and reliability
AI Engineer World's Fair 202513:32
How agents broke app-level infrastructure
Evan Boyle
Agent engineering · Infrastructure and deployment · Developer workflows and testing
AI Engineer Europe 202625:13
How Google DeepMind Runs Agents at Scale — KP Sawhney & Ian Ballantyne, Google DeepMind
KP Sawhney · Ian Ballantyne
Observability and reliability · APIs, MCP, and protocols · Developer workflows and testing
AI Engineer World's Fair 202519:23
How to look at your data; what to look for, how to measure
Jeff Huber · Jason Liu
Other / unclassified · RAG, context, and search · Agent engineering
AI Engineer Europe 202617:05
How Transformers Finally Ate Vision
Isaac Robinson
Vision and video · Infrastructure and deployment · Architecture