AI Engineer [YouTube]
Articles about AI Engineer [YouTube]
The Software Factory: From Bug Report to Production Code — Davis Palmie, Factory
Why Your AI Agents Can't Talk to Each Other (Yet) — Vlad Luzin, BAND
Why AI Agents Should Have Their Own Sandbox — Philipp Schmid, Google DeepMind
Redesigning How Software Gets Built With AI Agents — Sonar & McKinsey Panel
From 36% to 100%: How Self-Improving Agents Write Their Own Skills — Rafal Wilinski, Runlayer
Grep or Embeddings? Agentic Search Over Company Documents — George He, LlamaIndex
Every AI Company Is Accidentally Building a Bank — Dor Sasson, Stigg
The 6 Pillars of an Agentic Harness for Production — Varun Krovvidi, Resolve AI
Is Speculative Decoding Worth It? Profiling vLLM on NVIDIA Blackwell — Akamai
Move Fast and Don't Break Things: Scaling Databases for the AI Era — PlanetScale
Why Building an Eval Platform Is Harder Than It Looks — Braintrust
The Self-Improving OSS Agent Stack — Marc Klingen, Langfuse
Harness Engineering: How to Build a Software Factory — Dru Knox, Tessl
Cooking with Codex — Charlie Guo & Gabriel Chua, OpenAI
How AI Agents Pay: Checkout in ChatGPT and Google AI Mode — Sam Parsons, PayPal
Advanced Workshop: Mastering AI Observability — Doug Guthrie, Braintrust
How Many Credentials Should Your AI Agent Have? Zero. — Jim Clark, Docker
What Is an Inference Engine, Anyway? — Charles Frye, Modal
Your LLM Judge Is a Confident Liar: Building Better Verifiers — Browserbase
From Vibes to Production: Evaluating and Shipping AI Agents That Work 201 — Laurie Voss, Arize AI
From Raw Documents to AI-Ready Data — Leo Platzer & Jeff Koss
From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 — Laurie Voss, Arize AI
The Transcript Looked Fine. The Call Wasn't. — Debugging Voice Agents, Arize
Research to Reality with Google DeepMind — Paige Bailey, Google DeepMind
Build the Right Thing: Product Engineering (Part 1) — Kent C. Dodds, EpicProduct.engineer
How I Learned to Stop Worrying and Love the Sandbox — Matt Brockman, E2B
Evals in AI: A Deep Dive — Tejas Kumar, IBM
Your AI Agent Is Confidently Wrong About Production — Willem Pienaar, Cleric
Lifestyles of the AI-Native — Nick Nisi & Zack Proser, WorkOS
Agentic Search vs Vector Search for Coding Agents: We Ran the Eval — Braintrust
Agent Memory Is Solved. Agent Learning Isn't. — Karthik Ranganathan, Yugabyte
Agents That Write Their Own Tools at Runtime — Sandhya Subramani, AWS
AI Coding Agents Are Breaking Big Codebases — Dan Adler, Sourcegraph
Keyword Search Is Dying. Is Your Catalog Ready for AI Agents? — PayPal
The Human Is an Async API — Melanie Warrick, Temporal
We Built an AI Support Agent That Resolves 80% of Tickets — AssemblyAI
Dashboards Are Dead — Sarah Simionescu, Composio
Stop Fine-Tuning to Fix Retrieval Problems — Anant Srivastava
What Makes Open Models Fast in Production — Sujee Maniyam, Nebius
GPU Died. Training Didn't: Self-Healing Training at Scale — Crusoe
An Interaction Is All You Need — Ivan Leo, Google DeepMind
I Built a Personal AI Agent on a Raspberry Pi — Jeremy Adams, Neo4j
How VS Code Went from Monthly to Weekly Releases with AI — Harald Kirschner
Your LLM App Returned 200 OK. It Was Still Wrong. — Marina Petzel, Datadog
YOLO Mode, Safely: MicroVM Sandboxes for Any Agent — Rowan Christmas, Docker
The 5 Levels of Self-Driving Production — Eric Schwartz, Traversal
Lessons from Generating 12 Trillion Synthetic Tokens — Bogdan Gaza, DatologyAI
Why AI Didn't Actually Make You Ship Faster — Gabriel Spencer-Harper, Meticulous
Why 99% Accurate Browser Agents Still Fail — Derek Meegan, Browserbase
Stop Rationing Tokens: Let the Harness Pick the Model — Kimchi by Cast AI
Your Coding Agent Is 6 Months Out of Date — Jakub Hojsan, Exa
MCP Doesn't Suck. Your Agent Does. — Jan Čurn, Apify
Stop Renting Your AI's Memory — Dylan Couzon, Qdrant
The State of AI in Software Development: Data from 400+ Orgs — Justin Reock, DX
The Chief AI Officer: Scientist, Architect, Coach — Rania Khalaf, WSO2
The Death of the Code Review: What the Data Actually Says — Laurie Voss, Arize AI
Your Agents Are in Solitary Confinement: Why MCP & A2A Aren't Enough — Vlad Luzin, Band
Agents Built an OS Kernel That Runs Doom — Kevin Hou, Google DeepMind
Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warp
GLM-5.2: Open Weights, Near-Frontier Intelligence — Zixuan Li, Z.ai
Orchestras, Not Factories: How the Fastest Builders Work — Charlie Holtz, Conductor
Scale the Judgment, Not the Model — Andrew Orobator, Reddit
No, That's Not a Software Factory — Ryan Cooke, WorkOS
What It Actually Takes to Build a Software Factory — Tereza Tížková, Factory
I Turned Coding Agents Into a Strategy Game — Ido Salomon, AgentCraft
How Software Factories Improve Themselves — Suraj Gupta, Warp
We Let Claude Code and Codex Race Human Researchers — Elie Bakouch, Prime Intellect
Beating RL With Reflection: GEPA and Optimize Anything — Lakshya A. Agrawal, GEPA
Long-Horizon Agents Need Experiments, Not Just Prompts — Erina Karati
How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases
Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morph
An AI Research Agent That Runs Your Experiments — Tim Sweeney, Weights & Biases
The Loop Is the Product — Roland Gavrilescu, Introspection
AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptile
Teaching LLMs to Speak Spotify — Yves Raimond & Jacqueline Wood, Spotify
Why LLM Recommenders Will Be AI's Biggest Consumer App — Devansh Tandon, Meta
Distill the LLM, Don't Serve It: Search & Personalization at DoorDash — Raghav Saboo, DoorDash
One Operator, Many Drones: Inside Skydio's Autonomy Stack — Suchet Bargoti, Skydio
Robot Demos Are Easy. Reliability Is Hard — Jason Ma, Dyna Robotics
Physical AI's Next Bottleneck Is Finding the Right Video — Rafael Levi, Bright Data
World Models Need Causality, Not Pretty Pixels — Christopher Manning, Moonlake AI
Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AI
AI Engineer Paris 2026 Main Stage: Google DeepMind, ElevenLabs, Hugging Face & Stripe | Day 2
From Scratch to SOTA: Training a 3B State-Space Vision Model — Krishna Prasad Srinivasan, Sarvam
From VLM/VLA's to Embodied Agents — Armen Aghajanyan, Perceptron AI
You’re Not Thinking Big Enough: Rebuilding Food Systems with AI Agents — Cody Menefee, Firecrawl
From Ingestion to Agents: How AI Teams Build on Document Intelligence — Adit Abraham, Reducto
Modality Misalignment and Originality Attribution in Short-Form Video — Aditya Gautam, Meta
Skill issue: stop deploying vision language models, use them with Skills — Merve Noyan, Hugging Face
AI Engineer Paris 2026 Opening Keynotes: Mistral, Langfuse & Sizzy | Day 1
I Gave an AI a Body — Cyrus Clarke, MIT Media Lab
Building the Document Context Layer for AI Agents — Jerry Liu, LlamaIndex
The Best Models Still Reason Like Toddlers — Andrew Dai, Elorian
The Dark Arts of Skill Engineering — Paul Bakaus, Renaissance Geek
Weight Folding, CUDA Streams, and the Bug That Made My Model Speak Backwards — Filip Makraduli
The Frontier AI Inference Cloud for Agents — Byung-Gon (Gon) Chun, FriendliAI
Large clusters for small models — Daniel Svonava, Superlinked
What's New in Inference Engineering — Philip Kiely, Baseten
Vertical Mobility: Inference from MVP to Trillion-Parameter Workloads — Sitanshu Gupta, CoreWeave
Are LLM Performance Benchmarks Reliable? — Ashok Chandrasekar & Jason Kramberger, Google
Routing LLM Inference in Production: From Engine Signals to Policy — Qianru Lao & Lu Zhang, OpenAI
The End of TCP for AI Clusters — John Ousterhout, Stanford
Where RL Will Take Search — Maximilian-David Rumpf, SID.ai
Connect AI to Billions of Legal Documents — Simon Eskildsen, turbopuffer & Jacob Lauritzen, Legora
Your Agreements Are a Database You Can't Query — Hiral Shah, Docusign & Sean Sodha, NVIDIA
If we want them to do Knowledge Work, design them as Knowledge Agents — Benjamin Clavié, Mixedbread
Rebuilding the web for agents — Liad Yosef, MCP Apps
The Search Engine for the Agentic Web — Will Bryk, Exa
The unreasonable effectiveness of BM25 for agentic search — Jo Kristian Bergum, Hornet.dev
Operating Distributed Inference Systems at Scale — Nishant Gupta & Naman Ahuja, Meta
Two Bugs That Hid in Plain Sight: A vLLM Debugging Detective Story — Asaf Gardin & Yuval Belfer
Total Recall: Agent Memory and Harness Engineering — Ignacio Martinez, Oracle
Act, Confirm, or Stop? Smarter behavior for AI assistants, wearables & robots — Amit Desai, Roku
"My name is... my name is...": A Linguistic Map for Voice Agents — Midam Kim, ServiceNow
Realtime Voice Agents with Frontier Intelligence — Bohan Li, EliseAI
5 Voice Agent Failure Modes You'll Hit in Week One — Venky B, Plivo
Tolan: Voice-First AI Companion — Paula Dozsa, Tolan
Your Voice Agent is Just a Walkie Talkie — Neil Zeghidour, Gradium
Voice Agents Can Just Do Things — Charlie Guo, OpenAI
Stop Chunking Like It's 2022 — Yuval Belfer, AI21 Labs
Pinecone 2.0 — Edo Liberty, Pinecone
Agents Without Code: Skills, YAML, and Filesystems Replaced Python — Philipp Schmid, Google DeepMind
How we Solved Agent Building — Andrew Qu, Vercel
No Memory, No Harness: Why the Database Is the Last Line of Defense — Kay Malcolm, Oracle
We let an AI agent execute Bash and lived to talk about it — Sarah Sanders, PostHog
Every step you take, every call you make: the reliable agent stack — Giselle van Dongen, Restate
Loophole: Adversarial Agents To Stress Test Your Morality — Brendan Rappazzo, Morgan Stanley
Harness Engineering: Building the Production Cage for Powerful Domain Agents — Mike Chambers, AWS
Tokens Should Have Jobs — Katelyn Lesse & Angela Jiang, Anthropic