reliability
107 talks
Rebuilding CI for AI-Scale Commit Volume
I Believe Everything My Agents Tell Me: Three Levels of Review
Just-in-Time Ontologies: What Cheap Intelligence Means for Data
Why 80% Reliability Isn't Good Enough
Brains vs Hands: How to Run AI Agents Safely in Production
Why Your AI Agents Can't Talk to Each Other (Yet)
Move Fast and Don't Break Things: Scaling Databases for the AI Era
Evals in AI: A Deep Dive
From Vibes to Production: Evaluating and Shipping AI Agents That Work 201
The Human Is an Async API
GPU Died. Training Didn't: Self-Healing Training at Scale
How VS Code Went from Monthly to Weekly Releases with AI
The 5 Levels of Self-Driving Production
Why 99% Accurate Browser Agents Still Fail
Why AI Didn't Actually Make You Ship Faster
The Death of the Code Review: What the Data Actually Says
The State of AI in Software Development: Data from 400+ Orgs
One Operator, Many Drones: Inside Skydio's Autonomy Stack
Operating Distributed Inference Systems at Scale
Routing LLM Inference in Production: From Engine Signals to Policy
Two Bugs That Hid in Plain Sight: A vLLM Debugging Detective Story
Every step you take, every call you make: the reliable agent stack
How long can your skills be before your agent forgets what you told it?
AI Agents Are Just Distributed Systems Now
From Tokenmaxxing to Trusted Throughput
Tribal Dungeons of Global Shipping: AI Agents at Global Scale
Productionizing LLM Gateways: Architecture, Tradeoffs and Hard Lessons
Your Code Has Bugs. Lean4 Has Proofs: Formal Verification for Engineers
Agent Frameworks Considered Harmful
Your Agent Evolved. Your Evals Didn't.
Your Fine-Tuned Model Is Tech Debt: A 50x ROI House of Cards
How to build an AI-Native Health Company
Infra behind Krea 2: How to train and serve at scale
How Web Data Infrastructure Powers the Next Generation of AI
The Evolution of Agentic Surfaces
Guide, Verify, Solve
Benchmarking Coding Agents on New vs Legacy Codebases
Building Turbopuffer
MCP Tasks (async): Why Aren't Any Agents Supporting Them?
Your Agent Didn't Fail. Your Harness Did.
The Messy Reality of Scale: Synthetic Data and Pre-Training
From Agent Traces to Agent Simulations
How Evals and Prompts Shape Agent Behavior
Learned Execution Graphs for Anomaly Detection & Drift in APIs
Your agent architecture has a half-life of 6 months
Don't Let the LLM Drive
Don't Ship Skills Without Evals
Semantic Blindness: 500,000 Sensors Confused an LLM
Every Solo Agent Builder Eventually Reinvents a Worse Version of CI/CD
Should AI Engineers Still Read Code in 2026? The Z/L Continuum
Your coding agent doesn't always follow your rules
The Pipeline Is Dead
Continual Learning for AI Agents: From Failures to Durable Improvements
Deterministic Infra for Non-Deterministic AI Agents
The Log Is The Agent
The Production AI Playbook: Deploying Agents at Enterprise Scale
SWE-rebench: Lessons from Evaluating Coding Agents
Why (Senior) Engineers Struggle to Build AI Agents
Why Rust is the Ideal Language for Vibe-Coding
AI Engineer Singapore Day 2
Why Your AI UX Is Broken (and It's Not the Model's Fault)
Build Dumb AI Loops That Ship
LLM codegen fails and how to stop 'em
The End of Apps
Taste & Craft: A Conversation with Tuomas Artman
From Chaos to Choreography: Multi-Agent Orchestration Patterns That Actually Work
Building Durable, Production Ready Agents
Building Durable Agents with Workflow DevKit & AI SDK
The State of AI Code Quality: Hype vs Reality
From Stateless Nightmares to Durable Agents
Vision: Zero Bugs
Challenges in High Performance Robotics Systems
Fuzzing in the GenAI Era
The Next Unicorns: 7 Top AI Startups from the HF0 Residency
#define AI Engineer
Evals Are Not Unit Tests
On Engineering AI Systems that Endure the Bitter Lesson
Practical Tactics to Build Reliable AI Apps
Vibes won't cut it
Scaling AI Agents Without Breaking Reliability
Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop)
Beyond the Prototype: Using AI to Write High-Quality Code
Building AI Products That Actually Work
The Rise of Open Models in the Enterprise
3 ingredients for building reliable enterprise agents
Critical AI Inference Your CIO Can Trust
How to Train Your Agent: Building Reliable Agents with RL
12-Factor Agents: Patterns of Reliable LLM Applications
CI in the Era of AI: From Unit Tests to Stochastic Evals
"Data readiness" is a Myth: Reliable AI with an Agentic Semantic Layer
Engineering Better Evals: Scalable LLM Evaluation Pipelines That Work
Events are the Wrong Abstraction for Your AI Agents
The Many Ends of Programming
7 Habits of Highly Effective Generative AI Evaluations
Building Reliable Support Agents Using the Effect TypeScript Library
How agents broke app-level infrastructure
The Benchmarks Game: Why It's Rigged and How You Can (Really) Win
Voice Agent Engineering
Building and evaluating AI Agents
Scaling Agents for Gen AI Products
The Hidden Costs of Building Your Own RAG Stack
Agent Engineering (Day 2)
Code Generation and Maintenance at Scale
Architecting and Testing Controllable Agents
Building Reliable Agentic Systems
Keynotes & CodeGen Track
Trust, but Verify