AI Engineer

AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptile

Get Out of the Model's Way — Kevin Hou, Google Antigravity

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

Building Self-Improving Agent Software Factories — 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

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

AI Engineer Paris 2026 Main Stage: Google DeepMind, ElevenLabs, Hugging Face & Stripe | Day 2

I Gave an AI a Body — Cyrus Clarke, MIT Media Lab

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 Opening Keynotes: Mistral, Langfuse & Sizzy | Day 1

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

The Best Models Still Reason Like Toddlers — Andrew Dai, Elorian

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

Building the Document Context Layer for AI Agents — Jerry Liu, LlamaIndex

The Dark Arts of Skill Engineering — Paul Bakaus, Renaissance Geek (Impeccable)

Weight Folding, CUDA Streams, and the Bug That Made My Model Speak Backwards — Filip Makraduli

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

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

Operating Distributed Inference Systems at Scale — Nishant Gupta & Naman Ahuja, Meta

Total Recall: Agent Memory and Harness Engineering — Ignacio Martinez, Oracle

Homa: The End of TCP for AI Clusters — John Ousterhout, Stanford

Stop Chunking Like It's 2022 — Yuval Belfer, AI21 Labs

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

Pinecone 2.0 — Edo Liberty, Pinecone

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

1 Trillion Phone Calls/yr, 10% Error rate: The Crisis in Voice AI — Sumanyu Sharma, Hamming AI

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

Speech-to-Speech Model Research at Google DeepMind — Valeria Wu Fon & Tom Ouyang, Google DeepMind

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

Building ambitious software — Jonathan Kelley, Dioxus Labs & Cognition

One Designer + AI. Hundreds of Deliverables. — Vincent Wendy, AI Engineer

Generative UI... in Python? — Jeremiah Lowin, Prefect

Training Taste — Thais Castello Branco, Taste Labs

Design at the Speed of Adjectives — Paul Bakaus, Renaissance Geek, Inc.

Mousepower: agents that can’t be measured, can’t be managed. — Maximillian Piras, Yutori

The Design-Code Roundtrip That Isn't — Jonathan Gordon, ReWeaver AI

The Spatial Harness: Bringing Agents to the Canvas — Max Drake, tldraw

ACP: The Universal Remote Control for AI Agents — Alex Hancock, Block

MCP Apps: Give the Model Data, Give the User a UI — Dustin Mihalik, Indeed

How long can your skills be before your agent forgets what you told it? — Laurie Voss, Arize AI

Your agents lack context: Here's how to fix "You're absolutely right!" — Brandon Waselnuk, Unblocked

500 Skills, Zero Fine-Tuning: LinkedIn's Playbook for AI Agents — Ajay Prakash, LinkedIn

It’s Tokens All The Way Down: How RLMs are Different — Kevin Madura, AlixPartners

Build-Time vs. Run-Time: Why Dev Tools Fail in Production — Averi Kitsch & Prerna Kakkar, Google

Deep dive on LLM Inference at Scale — Harshul Jain, Audible & Tanmay Sah, Independent AI Researcher

Why AI Agents Need Million-Token Context — Thomas Wolf & Olive Song, MiniMax

From coding to Knowledge work agents — Karan Vaidya, Composio

Your company brain will leak secrets: how we stopped it for big banks — Tanmai Gopal, PromptQL

Agents' next frontier: agent-to-agent and network effects — Jean-Denis Greze, Town

Tethered: Our Agents Are Us — Shu Fang, Two Sigma

Everyone Gets A Software Company — Benjamin Guo, Zo Computer

Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet — David Levine, Kiduna Club

The End of the Static Screen: Architecting Intent-Driven UX — Gus Iwanaga, commercetools

Agent Spending Without Controls — Rodrigo Coelho & Pranav Maheshwari, Edge & Node

x402 isn’t good (yet) — Jan Curn, Apify

Your Agent Just Authorized What?! — Jay Mok & Ben Coumes, Paypal

When AI Agents Pay and Sellers Monetize: Building x402 Apps on AWS — Anil Nadiminti, AWS

Why Your AI Agent Needs a Wallet: USDC and Nanopayments — Harshal Bhangale, Circle

Multimodal Collaborative Agents for Next-Gen Commerce — Nidhi Kaushik Vyas, Google DeepMind

Teaching agents to pay — Anna Spysz, Stripe

SOTA Generative Media Panel — Dumitru Erhan, Shane Gu & Nicole Brichtova, Google DeepMind

Tell the Robot What You Want — Sandhya Subramani, AWS

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

Tribal Dungeons of Global Shipping: AI Agents at Global Scale — Dmitry Buykin, Maersk

Agentic Sites: Building Hyper Personalized Websites — Carlos Sanchez, Adobe

Agents Are Where Microservices Were in 2015 — Roberto Milev & Uday Kanagala, Navan

AI Agents Are Just Distributed Systems Now — Salman Munaf, TikTok

From Tokenmaxxing to Trusted Throughput — Mingsheng Hong, Ironclad

Guardians of the State: An Air-Gapped AI Fortress for Consumer Data — Rachna Srivastava, DFPI

The Half Life of Agent Infrastructure — Ben Kus, Box

Which AI startups actually land enterprise contracts? — Brian Lewis, Millennium

AI-Native Organisations Run on Skills: How to Structure and Scale Them — Imad Touil, QuantumBlack

Your Code Has Bugs. Lean4 Has Proofs: Formal Verification for Engineers — Varun Pant, AWS

How do you diffuse AI into the real world? — Varun Shenoy, Long Lake

How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage) — Eyal Blum, Figma

From AI-Assisted to AI-Native: Building a Frontier Development Team — Clare Liguori, AWS

How to avoid disaster when vibe-coding a billing engine — Andrew Garvin, Stripe

Productionizing LLM Gateways: Architecture, Tradeoffs and Hard Lessons — Kanish Manuja, Twilio

AI Evals for Cross-Functional Teams — Nachiket Paranjape & Swaroop Chitlur Haridas, DoorDash

Building uReview, Uber’s Multi-Agent Code Review Engine — Will Bond & Ameya Ketkar, Uber

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

How to Generate Mergeable Code with a Context Engine — Peter Werry, Unblocked

Can LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AI

How Anthropic Builds: Lessons from Labs — Mike Krieger, Anthropic

The Agentic Commerce Stack — Ahnaf Prio, Best Buy

KV Cache-Aware Routing and P/D Disaggregation on Kubernetes — Yuchen Fama & Ashish Kamra, Red Hat

The Death of Developer Advocates — Stephanie Jarmak, Sourcegraph

How AI Agents Let GTM Teams Scale — Justin Joyce, Cloudflare

Knowledge Systems: The New GTM Stack — Jeffrey Wang, Exa

How We Got LLMs to Recommend Our Open Source Library — Christopher Burns, Inth

Building GTM AI Agents: Lessons from Deploying to 6,000 Users — Sait Izmit, Snowflake

The Building Blocks of GTM Orchestration — Arman Vaziri, Ramp

AI in GTM at Notion — Flora Liu

GTM Engineering: The Technical Bits — Everett Berry, Clay

Reverse-Engineering the AI Buyer — Aliisa Rosenthal, Acrew Capital

The Missing Layer in Agentic AI — Giedrius Šteimantas, Oxylabs

Einstein Arena: Harnessing Collective Agent Intelligence for Open Science — James Zou, Together AI

The Agent Behind the Curtain: Building the Oz Cloud Agent Platform — Safia Abdalla, Warp

Inside 847 Production Clinical AI Notes — Sebastian Fox, Composo

Agent Frameworks Considered Harmful — Rémi Louf, .txt

Coding Agents Don't Scale Themselves. Neither Do Your Teams. — Patrick Debois, Tessl

Preferences Over Benchmarks: Model Routing — Archana Kamath & Tyler Gillam, DigitalOcean

What If Your Chip Design Team Moved Like a Single Body? — Abduallah Mohamed, AIDAChip

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

Give the Agent a Budget, Not a Token — Sachin Malhotra, Anthropic

Building Agents Is Trivial Now, Context Is the Next Frontier — Jeff Ng, Unblocked

The Missing Layer: Design Taste in AI Agents — Hassan El Mghari, Together AI

Agentic SDLC at Uber — Uday Kiran Medisetty & Adam Huda, Uber

Unlock Agent Autonomy: The Runtime for AI-Native Systems — Tushar Jain, Docker

Your Fine-Tuned Model Is Tech Debt: A 50x ROI House of Cards — Dan Bjornn, Lease End

How I automate my own job at Hugging Face using agents — Niels Rogge, Hugging Face

The Era of Compound Engineering — Kieran Klaassen, Every/Cora

IT Admin for the AI Workforce — Sarthak Aggarwal, Decawork

Prototyping as Leadership: How a CTO Ships with AI Agents — Hursh Agrawal, The Browser Company

The Last Human Code Review: Building Trust in AI-Generated Code — Itamar Friedman, Qodo

Your Agent Evolved. Your Evals Didn't. — Ameya Bhatawdekar, Braintrust

Why Your Enterprise Tech Stack Isn’t Ready for AI Agents — Christopher Lovejoy & Saul Howard

Don’t be data poor — Anuj Iravane, Anterior

How to build an AI-Native Health Company — Dan Feng, Maven Clinic

Trading Desks to Clinical Trials: Parallels in Applied Vertical AI — Ayush Bhardwaj, Allos AI

Healthcare’s Agent Bytecode: X12 as the Harness for AI Agents — Vasant Kearney, Onlay

200 Million Patient Interactions Later — Vivek Muppalla, Hippocratic AI

AI is the World’s largest Relationship Therapist — Clay Cockrell & Tony Fabrikant, CoupleWork AI

Shipping AI to a Million Patients Without an A/B Test — Jared Joselowitz, Ufonia

Guardrails First: Engineering Member-Facing Health AI — Rashi Agrawal, Hinge Health

From Ambient Documentation to Clinical Intelligence — Chaitanya Asawa, Abridge

The Next Medium: Why Real-Time Interactive Video Changes Everything — Ahmed Ahres, Reactor

Infra behind Krea 2: How to train and serve at scale — Gabriel Jorge Menezes, Krea.ai

Generative Video at the Speed of Light — Keegan McCallum, uRun

Voice agents with Realtime Video — Sidney Primas, LemonSlice

While my guitar gently speaks — Todd Fisher, Philo Ventures

The Next Game Engine Won't Have a Manual — Arturo Nunez, Nereu

Building an Agentic Video Editor for Mass Consumer — Ekaterina Deyneka, Reelful

Training Krea 2: What matters in generative model training — Sangwu Lee, Krea.ai

How to Kill the Code Review — Ankit Jain, Aviator

Security Firewall for Agents — Ryan Dahl, Deno

Context Engineering in 2026 — Louis-François Bouchard, Omar Solano & Samridhi Vaid, Towards AI

How Web Data Infrastructure Powers the Next Generation of AI — Patricija Žemaitytė, Oxylabs

The Rise of CaaS: Context-as-a-Service for Agentic AI — Omer Primor, Bright Data

From RL to IRL — Gaurav Mishra, Amazon AGI Lab

The Dark Arts of Web Automation: Teaching Agents to Use Websites Like Humans — Corey Gallon, Rexmore

Bringing agents onto the world wide web — Paul Klein IV, Browserbase

Computer Use at the Edge of the Statistical Precipice — Pierluca D'Oro, Programma Labs

Computer-use models will agentify the web, not APIs — Dhruv Batra, Yutori

Improving Agents is a Data Mining Problem — Vivek Trivedy, LangChain

Lessons from Studying Every Memory System — Shlok Khemani, Independent

Designing Agents (The Floor Is the Frontier) — Ben Hylak, Raindrop

Bringing Continual Learning into Enterprises — Samuel Denton, Applied Compute

LLM Knowledge Bases: a practical guide — Ben Holmes, Warp

Adaption Labs: Gradient-Free Continual Learning — Sara Hooker, Adaption

Intelligence + Continual Learning = Expertise — Yu Su, NeoCognition

Scaling Compute on Context — Jack Morris, Engram

Memory Harnesses for Long-Running Research Agents — Stefania Druga, Sakana.ai

Scaling up Continual Learning — Ronak Malde, Trajectory

Beyond Static Intelligence: Evaluating Continual Learning — Parth Asawa, UC Berkeley

Anthropic's Applied AI team on the Evolution of Agentic Surfaces

Agents, codebases, and teams — Aditya Khandelwal, Amazon AGI Lab

Taking Reinforcement Learning Cross Datacenter — Nan Jiang, Modal

Codex, Behind the Harness — Dominik Kundel, OpenAI

Multiplayer agentic engineering — Arjun Singh, Superconductor

Guide, Verify, Solve — Anirban Chatterjee, Sonar

Velocity Sickness: What Happens When Your Whole Team Gets 10x Faster — Matt Dailey, Ref.

Always-on agents run production without the on-call tax — Justin Smith, Resolve AI

Realtime multiplayer, automation, and you! — Idan Gazit, GitHub

Benchmarking Coding Agents on New vs Legacy Codebases — Denys Linkov, Wisedocs

Anthropic's CCA Exam as a Field-Guide for Agentic Engineering — Frank Coyle, UC Berkeley

The New Primitives: Building AI Native Software — Kwindla Kramer, Daily

Open Source Is Dead. Long Live Open Source. — Saoud Rizwan, Cline

Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIA

Compression at the Edge — NVIDIA, Unsloth, HuggingFace, Ollama

The State of Model Routing — NVIDIA, Cognition, OpenRouter

Gadgets: Personal app vibe coding that is actually safe — Kenton Varda, Cloudflare

Building Turbopuffer: Gergely Orosz (@pragmaticengineer ) × Simon Eskildsen (CEO)

MCP Apps: Extending the Frontier — Ido Salomon & Liad Yosef

MCP Tasks (async): Why Aren't Any Agents Supporting Them? — Cornelia Davis, Temporal

When Will The Benchmaxxing Plague End? — Nick Heiner, Surge AI

Teaching AI to Find Real Vulnerabilities — Prof. David Brumley, Bugcrowd

Rethinking Environments for Long-Horizon Work — Rayan Garg, Theta Software

可讀

What's Next After RLHF? — Diogo Almeida, TypeSafe AI

Data Quality Is the Compute Multiplier — Ari Morcos, DatologyAI

Learning on the Job: The Future of Post-Training — Raymond Feng, Applied Compute

Data and Environment Curation for Post-Training LLMs — Mahesh Sathiamoorthy, Bespoke Labs

Scaling to Long Horizons — Ross Taylor & Chengxi Taylor, General Reasoning

Emulated: The Data for Fully Autonomous Software Engineers and Companies — Joseph Wang

The Base Model Is Dead — Varun Singh, Arcee AI

Verifiable Environments for AI in Biology — Kenny Workman, LatchBio

Ending AI Slop — Thais Castello Branco, Taste Labs

Benchmarks: The Good, the Bad, and the Ugly — Ali Khial, G2i

Reinforcement Learning without Verifiable Rewards — Will Brown, Prime Intellect

Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It — Dan Fu and Olive Song

fighting slop with slop — Vaibhav Gupta, Boundary

First Steps Toward Automated AI Research — Richard Socher, CEO Recursive AI

Your Finance Agent's Bottleneck Is You — Ramana Siddanth Emani, Auditoria AI

Build for the Memo, Not the Demo — Shawn Chan, China Resources Holdings

Let's integrate AI Agents in Event-Sourced Systems — Divakar Kumar, FlyersSoft

Wearing the Agent: From Group Chats to Glasses — Sai Krishna Rallabandi

We Vetted 2000 AI Skills Before They Reached Developers — Lucas Palma, Nubank

How Kepler Built Verifiable AI for Financial Services — Vinoo Ganesh

Persona Engineering: A Field Guide to AI Synthetic Personas — Ishan Anand, InsightSciences.ai

Why Off-the-Shelf AI Doesn't Understand Money — Udi Menkes, Intuit

SimulationMaxxing: How we ship agents 20× faster — Aman Gupta (Nubank) + Shreya Rajpal (Snowglobe)

Skills are new features: Building Skill-Centric Harness — Yogendra Miraje, FactSet

Morgan Stanley's ALPHALAB: Multi-Agent Research Across Optimization Domains — Brendan Rappazzo

Your Agent Didn't Fail. Your Harness Did. — Vinoth Govindarajan, OpenAI

How Forward Deployed Engineering is done at Factory — Eno Reyes

AI tools for Forward Deployed Engineering — Vasuman Moza, Varick Agents

How Forward Deployed Engineering is done at Cognition — Jia Wu

How Forward Deployed Engineering is done at Ramp — Leo Mehr

The Dirty Secret of Forward Deployed Engineering — Natalie Meurer, Sierra

How Forward Deployed Engineering is done at Decagon — Sunny Rekhi

How Forward Deployed Engineering is done at Kepler — Vinoo Ganesh

Forward Deployed Engineering 101 — Kevin Bai, Anthropic, ex Palantir & Rippling Founding FDE

可讀

Loop Engineering from First Principles — Kyle Mistele, HumanLayer

Active Graph Agent Runtime (BabyAGI 4) — Yohei Nakajima, Untapped Capital

The Great Loops Debate — Dex Horthy, Geoff Huntley, Ian Livingstone, Greg Pstrucha, @insecure-agents