Every transcript

697 talks · 275h 46m of video · 179,520 sentences, each linked to the second it starts · generated 2026-11-08T05:37:18+00:00.

One fetch instead of 697: all.txt is every talk's sentences under a header, for reading into a context window; all.json is the same with each sentence's id, start and end seconds. Per talk: the page (timecodes open YouTube), txt, and vtt with one cue per sentence for cutting clips.

• High Throughput Agentic Engineering with ex-Meta L8 Principaltxtvtt▶
• Do you even need human review?txtvtt▶
• Context engineering with Dex Horthytxtvtt▶
• From Tokens to Cells: Foundation Models for Single-Cell Biology - Akram Baharlouei, Altos Labstxtvtt▶
• How to Build Quality Gates into Agentic Coding Workflows — Nnenna Ndukwe, Qodo AItxtvtt▶
• Why AI Agents Still Won't Pay for Anything — Jan Curn, Apifytxtvtt▶
• "I've never seen anything scarier than an LLM with tool calls." — Erik Meijer aka @HeadinTheBoxtxtvtt▶
• Notion's Token Town — Sarah Sachs, Notiontxtvtt▶
• AI Writes Code Faster Than Your Team Can Review It - Andrew Norrish, Sourcegraphtxtvtt▶
• The Agent Works. Does Anyone Trust It? — Michele Grant, Leading at Scaletxtvtt▶
• MCP Apps: Extending the Frontier — Ido Salomon & Liad Yoseftxtvtt▶
• When Will The Benchmaxxing Plague End? — Nick Heiner, Surge AItxtvtt▶
• Training Krea 2: What matters in generative model training — Sangwu Lee, Krea.aitxtvtt▶
• Don't Approve the AI Model. Approve the App - Doneyli De Jesus, Langfusetxtvtt▶
• Structuring the Unstructured - Cedric Clyburn, Red Hattxtvtt▶
• Guide, Verify, Solve — Anirban Chatterjee, Sonartxtvtt▶
• From Ingestion to Agents: How AI Teams Build on Document Intelligence — Adit Abraham, Reductotxtvtt▶
• What If Your Chip Design Team Moved Like a Single Body? — Abduallah Mohamed, AIDAChiptxtvtt▶
• I Spent Two Years Building the Median — Hariprasad Sudharshantxtvtt▶
• Why Datasite Stopped Building Its Own Parsing - Adit Abraham, Reducto & Raj Bakhru, Datasitetxtvtt▶
• Medic for Apache Spark - First Aid for Failing Jobs - Drasko Profirovic, Pinteresttxtvtt▶
• 6 Things to Know about AIE World's Fair 2026txtvtt▶
• Your company brain will leak secrets: how we stopped it for big banks — Tanmai Gopal, PromptQLtxtvtt▶
• Don't Ship Skills Without Evals — Philipp Schmid, Google DeepMindtxtvtt▶
• Stop Renting Intelligence: The Train-to-Deploy Loop for Specialized AI — Fireworks AItxtvtt▶
• Building Blocks for Uber’s Software Factory— Uday Kiran Medisetty & Adam Huda, Ubertxtvtt▶
• Speech-to-Speech Model Research at Google DeepMind — Valeria Wu Fon & Tom Ouyang, Google DeepMindtxtvtt▶
• Through the AI Fog: The Architectural Decision Agentic Security Depends On — Manoj Nair, Snyktxtvtt▶
• How we taught agents to use good retrieval - Hanna Lichtenberg, Mixedbread AItxtvtt▶
• The Signal Layer: What to Build When Anything Can Be Built — Lena Hall, Akamaitxtvtt▶
• How Forward Deployed Engineering is done at Kepler — Vinoo Ganeshtxtvtt▶
• "Software engineering is not about writing code" — Benoit Schillings, Google DeepMind VP of Researchtxtvtt▶
• How Web Data Infrastructure Powers the Next Generation of AI — Patricija Žemaitytė, Oxylabstxtvtt▶
• Everyone Has the Same AI Models. Here's What Sets Agents Apart - Richmond Alake, Oracletxtvtt▶
• I Don't Fear AI Slop. I Fear Untold Stories - Zack Proser, WorkOStxtvtt▶
• AI’s Jurassic Park Period — Aaron Stanley, dbt Labstxtvtt▶
• Build a Platform and Watch It Burn — Michael Forrester, Accenture & Whitney Lee, Datadogtxtvtt▶
• The Dark Arts of Web Automation: Teaching Agents to Use Websites Like Humans — Corey Gallon, Rexmoretxtvtt▶
• Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAItxtvtt▶
• Perception Agents — Antje Barth, Amazon AGI Labtxtvtt▶
• Teaching LLMs to Speak Spotify — Yves Raimond & Jacqueline Wood, Spotifytxtvtt▶
• Guardians of the State: An Air-Gapped AI Fortress for Consumer Data — Rachna Srivastava, DFPItxtvtt▶
• Rethinking Environments for Long-Horizon Work — Rayan Garg, Theta Softwaretxtvtt▶
• Scaling to Long Horizons — Ross Taylor & Chengxi Taylor, General Reasoningtxtvtt▶
• What if the harness mattered more than the model? - Aditya Bhargava, Etsytxtvtt▶
• One Operator, Many Drones: Inside Skydio's Autonomy Stack — Suchet Bargoti, Skydiotxtvtt▶
• Building Closed-Loop Evals for a Multimodal Agent at Scale — Soumya Gupta & Jai Chopra, Ubertxtvtt▶
• Agents Are Where Microservices Were in 2015 — Roberto Milev & Uday Kanagala, Navantxtvtt▶
• Agents That Write Their Own Tools at Runtime — Sandhya Subramani, AWStxtvtt▶
• Better Search Took This AI Agent From 36% to 98% Accuracy - Aamir Shakir, Mixedbreadtxtvtt▶
• How a Remote Company Builds AI Fluency — Em Shreve, Automattictxtvtt▶
• Verifiable Environments for AI in Biology — Kenny Workman, LatchBiotxtvtt▶
• Deploying AI Inside a Bank Is Not an Engineering Problem — Paden Gayle, Applied AI Engineerstxtvtt▶
• Same GPU, 50% More Output: Why the Operator Matters — Oliver Kennon, SemiAnalysistxtvtt▶
• Recursive Coding Agents - Raymond Weitekamp, OpenProsetxtvtt▶
• Voice AI Where One Wrong Question Breaks the Rules - Shiv Indap, Upstart & Brooke Hopkins, Covaltxtvtt▶
• Designing CLIs for Agents, Not Humans — Pedro Lopez, Airbytetxtvtt▶
• A Practitioner's Guide to Graphs - Tim Ainge, Good Collectivetxtvtt▶
• Build Evals That Actually Matter - Nick Ung & Akshay Sharma, Lyfttxtvtt▶
• Local Agentic Theory For Mobile Games — Shafik Quoraishee & Joanne Song, The New York Timestxtvtt▶
• The Transcript Looked Fine. The Call Wasn't. — Debugging Voice Agents, Arizetxtvtt▶
• AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptiletxtvtt▶
• Stop Rationing Tokens: Let the Harness Pick the Model — Kimchi by Cast AItxtvtt▶
• World Models Need Causality, Not Pretty Pixels — Christopher Manning, Moonlake AItxtvtt▶
• How to Build an AI Code Review Agent - Daksh Gupta, Greptiletxtvtt▶
• How We Took an AI Agent From 41% to 97% Accurate - Milind Sunil Shah, Brainbase Labstxtvtt▶
• I Run a Fleet of AI Agents Across Three Machines. Here's What Broke. - Kyle Jaejun Lee, KRAFTONtxtvtt▶
• We let an AI agent execute Bash and lived to talk about it — Sarah Sanders, PostHogtxtvtt▶
• Your Fine-Tuned Model Is Tech Debt: A 50x ROI House of Cards — Dan Bjornn, Lease Endtxtvtt▶
• Agents That Own Their Inference — Du'an Lightfoot & Khaja Omer, Akamai Technologiestxtvtt▶
• Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGovtxtvtt▶
• Who Is Making This Request? Agent Auth 101 - Kamil Potrec, Keycardtxtvtt▶
• The Search Engine for the Agentic Web — Will Bryk, Exatxtvtt▶
• How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage) — Eyal Blum, Figmatxtvtt▶
• Why AI Agents Need Million-Token Context — Thomas Wolf & Olive Song, MiniMaxtxtvtt▶
• Real AI Agent Attacks and What Would Have Stopped Them — Andrey Rybka, Bloombergtxtvtt▶
• Your Company Should Train Its Own AI Models - Will Brown, Prime Intellecttxtvtt▶
• Building the AI Agent Is Easy. Proving It's Safe Isn't - Jonathan Osborne, NatWesttxtvtt▶
• Lessons from Studying Every Memory System — Shlok Khemani, Independenttxtvtt▶
• The Next Medium: Why Real-Time Interactive Video Changes Everything — Ahmed Ahres, Reactortxtvtt▶
• Why 99% Accurate Browser Agents Still Fail — Derek Meegan, Browserbasetxtvtt▶
• Voice In, Visuals Out: The Agony and the Ecstasy - Allen Pike, Forestwalk Labstxtvtt▶
• Scale the Judgment, Not the Model — Andrew Orobator, Reddittxtvtt▶
• You Can't Prompt the Room: The Last Skill AI Won't Replace - Balázs Horváth, VisualLabstxtvtt▶
• Knowledge Systems: The New GTM Stack — Jeffrey Wang, Exatxtvtt▶
• Generation Is Cheap, Review Is Expensive: How to Stop Shipping AI Slop — Gabriel Martinez, G2itxtvtt▶
• What's New in Inference Engineering — Philip Kiely, Basetentxtvtt▶
• Which AI startups actually land enterprise contracts? — Brian Lewis, Millenniumtxtvtt▶
• Taming the AI Hardware Cambrian Explosion — Abdul Dakkak, Modulartxtvtt▶
• The Missing Layer: Design Taste in AI Agents — Hassan El Mghari, Together AItxtvtt▶
• The AI bugpocalypse is here. Now what? - Jack Cable, Corridortxtvtt▶
• What Does Done Even Mean? Agents and Paperclip's Liveness Model - Dotta, Papercliptxtvtt▶
• Parameter Golf with AutoResearch — Vayum Arora, Zhengyao Jiang, Dixing Xu & Dhruv Srikanth, Weco AItxtvtt▶
• Stop Telling Agents Howtxtvtt▶
• If Your AI Scores 100%, Your Eval Is Wrong - Ramakrishnan Lokanathan, eslams.comtxtvtt▶
• Is the Agent Harness Dead? — Jediah Katz, SpaceXAItxtvtt▶
• Rebuilding CI for AI-Scale Commit Volume — Gautam Korlam, Sonartxtvtt▶
• Operating Distributed Inference Systems at Scale — Nishant Gupta & Naman Ahuja, Metatxtvtt▶
• Skills are new features: Building Skill-Centric Harness — Yogendra Miraje, FactSettxtvtt▶
• The Loop Is the Product — Roland Gavrilescu, Introspectiontxtvtt▶
• AI Agents Don't Read Your Policy Docs. They Hit Your APIs — Graviteetxtvtt▶
• Benchmarking Coding Agents on New vs Legacy Codebases — Denys Linkov, Wisedocstxtvtt▶
• How Forward Deployed Engineering is done at Decagon — Sunny Rekhitxtvtt▶
• WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankartxtvtt▶
• Mousepower: agents that can’t be measured, can’t be managed. — Maximillian Piras, Yutoritxtvtt▶
• An Interaction Is All You Need — Ivan Leo, Google DeepMindtxtvtt▶
• Reliable, Smart Workflows for Finance, Wealth and Insurance — Karthic Rao, Perpetualtxtvtt▶
• How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRivaltxtvtt▶
• RLM: Recursive Language Models for Large Codebases - Shashi, Superagentic AItxtvtt▶
• Every Harness Will Become A Claw — Sam Bhagwat, Mastratxtvtt▶
• Your AI Agent Starts Every Session Like a New Hire - Killian Carlsen-Phelan, Sonartxtvtt▶
• When Running Your Own AI Models Beats Paying for APIs - Steven Latré, imectxtvtt▶
• From Signal to PR: Anatomy of a Self-Improving Agent — Jason Lopatecki, Arizetxtvtt▶
• GLM-5.2: Open Weights, Near-Frontier Intelligence — Zixuan Li, Z.aitxtvtt▶
• Claude for Long-Horizon Tasks — Lance Martin, Anthropictxtvtt▶
• Build-Time vs. Run-Time: Why Dev Tools Fail in Production — Averi Kitsch & Prerna Kakkar, Googletxtvtt▶
• Building on the Codex Harness — Dominik Kundel, OpenAItxtvtt▶
• Agent Memory Is Solved. Agent Learning Isn't. — Karthik Ranganathan, Yugabytetxtvtt▶
• Develop at Idea Velocity - Jeffrey Lee-Chan, Snapchattxtvtt▶
• The Chief AI Officer: Scientist, Architect, Coach — Rania Khalaf, WSO2txtvtt▶
• How We Solved Agent Building — Andrew Qu, Verceltxtvtt▶
• Field Guide to Fable — Thariq Shihipar, Anthropictxtvtt▶
• 500 Skills, Zero Fine-Tuning: LinkedIn's Playbook for AI Agents — Ajay Prakash, LinkedIntxtvtt▶
• Teaching agents to pay — Anna Spysz, Stripetxtvtt▶
• Don't Trust Your AI Agents. Test Them Like a Scientist — Stephanie Jarmak, Omni Analyticstxtvtt▶
• Distill the LLM, Don't Serve It: Search & Personalization at DoorDash — Raghav Saboo, DoorDashtxtvtt▶
• fighting slop with slop — Vaibhav Gupta, Boundarytxtvtt▶
• 200 Million Patient Interactions Later — Vivek Muppalla, Hippocratic AItxtvtt▶
• Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labstxtvtt▶
• Forward Deployed Engineering at Cursor — Pauline Brunettxtvtt▶
• Reinforcement Learning without Verifiable Rewards — Will Brown, Prime Intellecttxtvtt▶
• Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It — Dan Fu and Olive Songtxtvtt▶
• AI Agents Will Upend Investing Even More Than Coding - Frank Long, Coatuetxtvtt▶
• The Best Models Still Reason Like Toddlers — Andrew Dai, Eloriantxtvtt▶
• Lifestyles of the AI-Native — Nick Nisi & Zack Proser, WorkOStxtvtt▶
• Multimodal Collaborative Agents for Next-Gen Commerce — Nidhi Kaushik Vyas, Google DeepMindtxtvtt▶
• Bypassing the Multimodal Tax: Hybrid RAG, SQL RRF & UI Telemetry - Abed Matini, Ogilvytxtvtt▶
• How Anthropic Merges 30,000 Code Changes a Day - Manish Kapur, Sonar & Addy Osmani, Anthropictxtvtt▶
• How do you diffuse AI into the real world? — Varun Shenoy, Long Laketxtvtt▶
• Enterprise Agents Have a Structure Problem - Ishita Daga, Teslatxtvtt▶
• From Context to Memory: Your Agents Need a Real Memory Layer — Anders Swanson, Oracletxtvtt▶
• The Model Was Right. The Harness Failed. — Vinoth Govindarajan, OpenAItxtvtt▶
• Continuously Improving Agents with Langfuse — Annabell Schäfer & Lotte Verheyden, ClickHousetxtvtt▶
• AI Agents Cut 3-Day Portfolio Builds to Minutes — Jack McDonald, Apollo & Michael Manapat, Rowspacetxtvtt▶
• Stop Renting Your Cognitive Infrastructure - Thiyagarajan Maruthavanan, Kalmantic Labstxtvtt▶
• AI Coding Agents Are Breaking Big Codebases — Dan Adler, Sourcegraphtxtvtt▶
• 300 Agents, 60 People: How We Secured Our Own AI Agents - Aiden Sochowski, Runlayertxtvtt▶
• From Systems of Record to Systems of Context — Omri Bruchim & Tomer Ast, monday.comtxtvtt▶
• The Dirty Secret of Forward Deployed Engineering — Natalie Meurer, Sierratxtvtt▶
• Shipping AI Into 5 Major Banks Without a 12-Month Compliance Wait — Al Chen, Ciscotxtvtt▶
• Your AI Isn't the Advantage. Your Judgment Is - Sid Pednekartxtvtt▶
• Build AI Systems for Discernment, Not Approval - Angel Ortmann Lee, Duolingotxtvtt▶
• The AI Content System Behind 200M Views — Sarah Chieng, Cerebras & Cova Lee, OpenAItxtvtt▶
• Respect The Process - Andrew Dumit, Watershed Technology Inc.txtvtt▶
• How Bridgewater Turned 100 Million Documents Into an Edge - Sam Green & Aaron Linsky, Bridgewatertxtvtt▶
• Computer Use at the Edge of the Statistical Precipice — Pierluca D'Oro, Programma Labstxtvtt▶
• From RL to IRL — Gaurav Mishra, Amazon AGI Labtxtvtt▶
• AI Agents for Performance: Ship Faster, Pay Less — Rajat Shah, Netflixtxtvtt▶
• Open Source Is Dead. Long Live Open Source. — Saoud Rizwan, Clinetxtvtt▶
• Improving Agents is a Data Mining Problem — Vivek Trivedy, LangChaintxtvtt▶
• 78% Wanted This AI Feature. Almost Nobody Used It - Supriya Subudhi, Bumbletxtvtt▶
• HTML Is All Agents Need — James Russo, HeyGentxtvtt▶
• How to Build Financial Agents That Work Across the Web - Jay Sahnan & Arik Bird, Browserbasetxtvtt▶
• One Day, $1,000 in Tokens: An AI War Room for Legacy Code — Ford Prior, GEICOtxtvtt▶
• The Prompt is the Platform - Dominik Tornow, Resonate HQtxtvtt▶
• Building GTM AI Agents: Lessons from Deploying to 6,000 Users — Sait Izmit, Snowflaketxtvtt▶
• Why Bigger Context Windows Won't Save Your Agent — Elizabeth Fuentes Leone, AWStxtvtt▶
• Stop Prompting — Greg Pstrucha, Sentrytxtvtt▶
• Hiring Employable Agents + Startup Battlefield Finals — Howie Liu, HyperAgenttxtvtt▶
• Building uReview, Uber’s Multi-Agent Code Review Engine — Will Bond & Ameya Ketkar, Ubertxtvtt▶
• Semantic Blindness: 500,000 Sensors Confused an LLM - Raahul Singh & Vanč Levstik, Phaidratxtvtt▶
• While my guitar gently speaks — Todd Fisher, Philo Venturestxtvtt▶
• Why 80% Reliability Isn't Good Enough — Felipe Blanes, Amazon AGI Labtxtvtt▶
• 7 Things Your AI Coworker Needs - Philipp Schmid, Google DeepMindtxtvtt▶
• From Vibes to Production: Evaluating and Shipping AI Agents That Work 201 — Laurie Voss, Arize AItxtvtt▶
• Build a Research Agent with Claude Managed Agents (Part 2 of 4) — Anthropictxtvtt▶
• How I automate my own job at Hugging Face using agents — Niels Rogge, Hugging Facetxtvtt▶
• Lessons from Generating 12 Trillion Synthetic Tokens — Bogdan Gaza, DatologyAItxtvtt▶
• Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIAtxtvtt▶
• Just-in-Time Ontologies: What Cheap Intelligence Means for Data — Hrishi Olickel, Southbridge AItxtvtt▶
• Every Building Is a Balance Sheet: Spatial Memory for Real-World Assets — Jordi Spranger, Spranictxtvtt▶
• Agents Need Receipts, Not More Tool Calls - Armanas Povilionis, Alithea Biotxtvtt▶
• The Highest Loop — swyxtxtvtt▶
• Preferences Over Benchmarks: Model Routing — Archana Kamath & Tyler Gillam, DigitalOceantxtvtt▶
• Cooking with Codex — Charlie Guo & Gabriel Chua, OpenAItxtvtt▶
• GTM Is You - Victoria Melnikova, Evil Martianstxtvtt▶
• The Agentic Commerce Stack — Ahnaf Prio, Best Buytxtvtt▶
• Why Compute Still Trades in Group Chats — Affaan Mustafa & Alejandro Soumah Fernandez, Jump Tradingtxtvtt▶
• FinOps for AI Agents: Who Spent All the Tokens? — Tisha Chawla & Susheem Koul, Microsofttxtvtt▶
• The Unreasonable Effectiveness of Separating the Task from the Model — Maxime Rivest & Isaac Millertxtvtt▶
• Bringing agents onto the world wide web — Paul Klein IV, Browserbasetxtvtt▶
• Citation Needed: Provenance for LLM-Built Knowledge Graphs — Daniel Chalef, Zep AItxtvtt▶
• Building ambitious software — Jonathan Kelley, Dioxus Labs & Cognitiontxtvtt▶
• Parsing the Epstein Files for JMail — Palak Agarwal & Omar Alhait, Reductotxtvtt▶
• Why AI Didn't Actually Make You Ship Faster — Gabriel Spencer-Harper, Meticuloustxtvtt▶
• Let Anyone at Your Company Ship Internal Apps with AI — Garrett Galow, WorkOStxtvtt▶
• Building Agents Is Trivial Now, Context Is the Next Frontier — Jeff Ng, Unblockedtxtvtt▶
• The Frontier AI Inference Cloud for Agents — Byung-Gon (Gon) Chun, FriendliAItxtvtt▶
• No, That's Not a Software Factory — Ryan Cooke, WorkOStxtvtt▶
• How VS Code Went from Monthly to Weekly Releases with AI — Harald Kirschnertxtvtt▶
• LLM Knowledge Bases: a practical guide — Ben Holmes, Warptxtvtt▶
• It's 10pm. Do You Know Where Your Agents Are? — Kim Maida, Keycardtxtvtt▶
• Intelligence + Continual Learning = Expertise — Yu Su, NeoCognitiontxtvtt▶
• "My name is... my name is...": A Linguistic Map for Voice Agents — Midam Kim, ServiceNowtxtvtt▶
• The Miranda Hypothesis: How Hamilton Poisoned Persona Evals - Jacob E. Thomas, Results Gentxtvtt▶
• Building AI Agents with Real-Time Web Data — Yohan Raju, Bright Datatxtvtt▶
• Pinecone 2.0 — Edo Liberty, Pineconetxtvtt▶
• Your LLM Deception Monitor Is Broken. The Fix Is in the Training Data - Sachin Kumar, LexisNexistxtvtt▶
• How Forward Deployed Engineering is done at Ramp — Leo Mehrtxtvtt▶
• Physical AI's Next Bottleneck Is Finding the Right Video — Rafael Levi, Bright Datatxtvtt▶
• An AI Agent Got Its User Banned From Resy — Keycard, JPMorgan Chase & AAuthtxtvtt▶
• Why Software Factories Failtxtvtt▶
• From Agent Traces to Agent Simulations — Rustem Feyzkhanov, Snorkel AItxtvtt▶
• Using Spec-Driven Development for Production Workflows - Erik Hanchett, AWStxtvtt▶
• What Does an AI Engineer Do Now? - Aparna Dhinakaran, Arize AItxtvtt▶
• Privacy-Preserving Intelligence — Steve Korshakov, Bee (acq. Amazon)txtvtt▶
• AI-Driven Multi-Document Correlation for Financial Compliance - Varsha Shah, Independenttxtvtt▶
• Your AI Agent Is Confidently Wrong About Production — Willem Pienaar, Clerictxtvtt▶
• Compression at the Edge — NVIDIA, Unsloth, HuggingFace, Ollamatxtvtt▶
• Buy, Build, Deploy: Using M&A to Drive AI Transformation — Prathik Naidu, Long Laketxtvtt▶
• Why AI Makes You 100x Faster but Not Your Company - Mitchell Troyanovsky, Basistxtvtt▶
• From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization - May Walter, Hudtxtvtt▶
• HTML is All You Need (for Agents to Make Graphics) - Amol Kapoor, Noritxtvtt▶
• Full Workshop: Better Auth — Paola Estefania, Better Authtxtvtt▶
• User Signal Dies at the Retrieval Boundary - Sonam Pankaj, StarlightSearchtxtvtt▶
• A Valid Key Let an AI Agent Delete Production - Sagar Batchu, Speakeasytxtvtt▶
• Claude Managed Agents and Evolution of Agentic Surfaces — Gagan Bhat & Isabella Kai He, Anthropictxtvtt▶
• State of the Union: Why Local, Why Now — NVIDIA, Osmantic, Roboflow, EXO Labs, @matthew_bermantxtvtt▶
• Giving AI Agents Memory That Learns — Jake Broekhuizen, LangChaintxtvtt▶
• Agent Frameworks Considered Harmful — Rémi Louf, .txttxtvtt▶
• SOTA Generative Media Panel — Dumitru Erhan, Shane Gu & Nicole Brichtova, Google DeepMindtxtvtt▶
• SimulationMaxxing: How we ship agents 20× faster — Aman Gupta (Nubank) + Shreya Rajpal (Snowglobe)txtvtt▶
• Your agents lack context: Here's how to fix "You're absolutely right!" — Brandon Waselnuk, Unblockedtxtvtt▶
• The Data Context Layer for Agents — Yoni Michael & Brandon Callender, Typedeftxtvtt▶
• The Messy Reality of Scale: Synthetic Data and Pre-Training — Marah Abdin & Robert McHardy, poolsidetxtvtt▶
• Computer-use models will agentify the web, not APIs — Dhruv Batra, Yutoritxtvtt▶
• Generative UI... in Python? — Jeremiah Lowin, Prefecttxtvtt▶
• Memory-Aware Agent Harnesses for Anti-Money Laundering — Nacho Martinez, Oracletxtvtt▶
• Forward Deployed Engineering 101 — Kevin Bai, Anthropic, ex Palantir & Rippling Founding FDEtxtvtt▶
• Velocity Sickness: What Happens When Your Whole Team Gets 10x Faster — Matt Dailey, Ref.txtvtt▶
• The Agent Behind the Curtain: Building the Oz Cloud Agent Platform — Safia Abdalla, Warptxtvtt▶
• The UX of AI: Making AI-Powered Apps Your Users Don't Hate - Kathryn Grayson Nanz, Progress Softwaretxtvtt▶
• AI in GTM at Notion — Flora Liutxtvtt▶
• Backtest Your Agent Against Yesterday's Web — Ryan Ahern, Exatxtvtt▶
• Skills are the New SDKs - Elvin Aghammadzada, DataRobottxtvtt▶
• RAG Needs a Map: Using GraphRAG to Retrieve Connected Context — Nyah Macklin, Neo4jtxtvtt▶
• Why Humans Can't Keep Up With AI-Written Code - Tariq Shaukat, Sonartxtvtt▶
• The New Primitives: Building AI Native Software — Kwindla Kramer, Dailytxtvtt▶
• Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsofttxtvtt▶
• Fixing the PR Bottleneck — Matt Pocock, AIHerotxtvtt▶
• Your AI Agent Wants Your Data. Here's How to Lock It Down - Jeff Smith, Oracletxtvtt▶
• We Gave an Agent Production Code Access and Then Tried to Sleep at Night — Moritz Johner, Form3txtvtt▶
• Using RL Agent to Detect and Remediate ETL Pipeline Failures - Anna Marie Benzontxtvtt▶
• The Death of Developer Advocates — Stephanie Jarmak, Sourcegraphtxtvtt▶
• AI-Native Organisations Run on Skills: How to Structure and Scale Them — Imad Touil, QuantumBlacktxtvtt▶
• Realtime Voice Agents with Frontier Intelligence — Bohan Li, EliseAItxtvtt▶
• Shipping AI to a Million Patients Without an A/B Test — Jared Joselowitz, Ufoniatxtvtt▶
• Security Firewall for Agents — Ryan Dahl, Denotxtvtt▶
• Robots Will Be Trained on Video Games - Pim de Witte, General Intuitiontxtvtt▶
• The Design-Code Roundtrip That Isn't — Jonathan Gordon, ReWeaver AItxtvtt▶
• Brains vs Hands: How to Run AI Agents Safely in Production — Viren Baraiyatxtvtt▶
• Turning My Obsidian Vault Into a Local AI Engineer — Filip Makraduli, Superlinkedtxtvtt▶
• Evals in AI: A Deep Dive — Tejas Kumar, IBMtxtvtt▶
• Training Frontier Models to Out-Think Hackers — Uri Rolls, Arithmetic & Thom Wolf, Hugging Facetxtvtt▶
• One Designer + AI. Hundreds of Deliverables. — Vincent Wendy, AI Engineertxtvtt▶
• Stop Evaluating Models Like It's the 50s - Alejandro Vidal, Mindmakerstxtvtt▶
• Evals-Driven Development for a Mental Health AI Coach — Akele Reed & Dave Revere, SonderMindtxtvtt▶
• If we want them to do Knowledge Work, design them as Knowledge Agents — Benjamin Clavié, Mixedbreadtxtvtt▶
• Beating RL With Reflection: GEPA and Optimize Anything — Lakshya A. Agrawal, GEPAtxtvtt▶
• YOLO Mode, Safely: MicroVM Sandboxes for Any Agent — Rowan Christmas, Dockertxtvtt▶
• Multiplayer agentic engineering — Arjun Singh, Superconductortxtvtt▶
• Beyond RAG: A Relational Context Engine That Cuts Token Burn — Unblockedtxtvtt▶
• Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharctxtvtt▶
• How Revolut Cut AI Coding Costs 90% With Self-Hosted Open Models - David Abitbol, Revoluttxtvtt▶
• How to Build Voice Agents That Don't Fall Apart When You Interrupt - Jesse Hall, LiveKittxtvtt▶
• Voice Agents Can Just Do Things — Charlie Guo, OpenAItxtvtt▶
• From fork() to Fleet: Designing an Agent Sandbox Cloud — Abhishek Bhardwaj, OpenAItxtvtt▶
• The Rise of CaaS: Context-as-a-Service for Agentic AI — Omer Primor, Bright Datatxtvtt▶
• Why Off-the-Shelf AI Doesn't Understand Money — Udi Menkes, Intuittxtvtt▶
• Tokens Should Have Jobs — Katelyn Lesse & Angela Jiang, Anthropictxtvtt▶
• Stop Guessing Your vLLM Config: Benchmarking LLMs on Runpod - Chris Vela, Runpodtxtvtt▶
• Containment Is Lying to You: Measuring AI Agents Like Employees — Druid AItxtvtt▶
• CrabRAG: Why Automated Assistants Need Graph Memory, Not More Tokens — Stephen Chin, Neo4jtxtvtt▶
• The State of Model Routing — NVIDIA, Cognition, OpenRoutertxtvtt▶
• Claude Managed Agents Q&A: Evals, CI/CD and Multi-Tenancy (Part 4 of 4) — Anthropictxtvtt▶
• Everyone Gets A Software Company — Benjamin Guo, Zo Computertxtvtt▶
• The End of the Static Screen: Architecting Intent-Driven UX — Gus Iwanaga, commercetoolstxtvtt▶
• How AI Agents Let GTM Teams Scale — Justin Joyce, Cloudflaretxtvtt▶
• Memory Harnesses for Long-Running Research Agents — Stefania Druga, Sakana.aitxtvtt▶
• Agents' next frontier: agent-to-agent and network effects — Jean-Denis Greze, Towntxtvtt▶
• On AI and Knowledge — Pablo Castro, Distinguished Engineer & CVP for AI Knowledge, Microsofttxtvtt▶
• "The biggest challenge in your stack? Evals, Evals, Evals" - 2026 State of AI Engineering resultstxtvtt▶
• Chat and citations won't save your vertical AI - Atul Ramachandran, Filed Inctxtvtt▶
• Building the Document Context Layer for AI Agents — Jerry Liu, LlamaIndextxtvtt▶
• How Forward Deployed Engineering is done at Cognition — Jia Wutxtvtt▶
• AI Can't Make Up a Number It Can't Look Up - Vinoo Ganesh, Keplertxtvtt▶
• Gadgets: Personal app vibe coding that is actually safe — Kenton Varda, Cloudflaretxtvtt▶
• SWE-Marathon: Evaluating Coding Agents at Billion-Token Scale - Rishi Desai, Abundant AItxtvtt▶
• Tell the Robot What You Want — Sandhya Subramani, AWStxtvtt▶
• How to Know If Your AI Agent Is Any Good: Evals With Phoenix & Claude — Laurie Voss, Arize AItxtvtt▶
• Judge a Transaction by the Company It Keeps — Somya Rai & MD Sharique, EXLtxtvtt▶
• The Dark Arts of Skill Engineering — Paul Bakaus, Renaissance Geek (Impeccable)txtvtt▶
• Your AI Agent Keeps Making the Same Mistakes - Sparsh Jain, CentralAgent AItxtvtt▶
• Your GPU Neighbor Can Hear Your Model — Branislav Brzak, Stealthiumtxtvtt▶
• The State of AI in Software Development: Data from 400+ Orgs — Justin Reock, DXtxtvtt▶
• AI Labs Will Trap You or Replace You - Dillon Rolnick, Nous Researchtxtvtt▶
• Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeleytxtvtt▶
• Robot Demos Are Easy. Reliability Is Hard — Jason Ma, Dyna Roboticstxtvtt▶
• Our Smaller Model Beat Opus on Finance Tasks - Alexander Shevchenko, Ramptxtvtt▶
• AI System Design: From Idea to Production - Apoorva Joshi, MongoDBtxtvtt▶
• Agentic Search vs Vector Search for Coding Agents: We Ran the Eval — Braintrusttxtvtt▶
• Inside the AI Economy: What Stripe's Data Reveals — Nilofer Rajpurkar, Stripetxtvtt▶
• From Scratch to SOTA: Training a 3B State-Space Vision Model — Krishna Prasad Srinivasan, Sarvamtxtvtt▶
• ReviewDebt: a practical framework for scoring every pull request — Sachin Gupta, Ebaytxtvtt▶
• Building Self-Improving Agent Software Factories — Suraj Gupta, Warptxtvtt▶
• What Makes Open Models Fast in Production — Sujee Maniyam, Nebiustxtvtt▶
• Orchestras, Not Factories: How the Fastest Builders Work — Charlie Holtz, Conductortxtvtt▶
• The Self-Improving OSS Agent Stack — Marc Klingen, Langfusetxtvtt▶
• The AI Bill Is Too Damn High: Tokenomics 101 — Eugene Cheah, Featherless AItxtvtt▶
• How Kepler Built Verifiable AI for Financial Services — Vinoo Ganeshtxtvtt▶
• Small Models, Big Results: Training a Finance Agent for Under $500 — Charles Dickens, Snorkel AItxtvtt▶
• Tokens Are the Cheap Part — Steve Jamison, Jellyfishtxtvtt▶
• A Bank Trained Its Own Foundation Model to Catch Fraud — Freddy Lecue, Wells Fargotxtvtt▶
• The Model Swap Workshop: GPT-5.5 vs Kimi vs DeepSeek vs Mistral — Pamela Fox, Microsofttxtvtt▶
• Agents That Self Improve While You Sleep - Fuad Ali, Arize AItxtvtt▶
• The Investor's Edge Lives in Their Head — Anekha Sokhal, Moshitxtvtt▶
• Building Great Agent Skills: The Missing Manualtxtvtt▶
• Your Agents Are in Solitary Confinement: Why MCP & A2A Aren't Enough — Vlad Luzin, Bandtxtvtt▶
• The Log Is The Agent - Ishaan Sehgal, Omnaratxtvtt▶
• AI That Hunts Logic Bugs Before Attackers Do - Taylor Luttrell-Williams, Sonartxtvtt▶
• 500 people vibe-coded for 30 days. I was one of them. - Sanja Grbic, Automattictxtvtt▶
• GTM Engineering: The Technical Bits — Everett Berry, Claytxtvtt▶
• A Song of Types and Agents - Roberto Stagi, Rateltxtvtt▶
• Decoupling the Brain from the Hands: Claude Managed Agents (Part 1 of 4) — Anthropictxtvtt▶
• Healthcare’s Agent Bytecode: X12 as the Harness for AI Agents — Vasant Kearney, Onlaytxtvtt▶
• Modern Post-Training: A Deep Dive — Will Brown, Prime Intellecttxtvtt▶
• Connect AI to Billions of Legal Documents — Simon Eskildsen, turbopuffer & Jacob Lauritzen, Legoratxtvtt▶
• Stop Making Your Customers Click Approve - Emil Chetty, Wisetxtvtt▶
• The Next Game Engine Won't Have a Manual — Arturo Nunez, Nereutxtvtt▶
• Thinner Agents on a Smarter Substrate: The Ontology-based Semantic Layer — Emil Eifrem, Neo4jtxtvtt▶
• How We Got LLMs to Recommend Our Open Source Library — Christopher Burns, Inthtxtvtt▶
• Better AI Models Won't Fix Your Engineering Team — Nicholas Arcolano, Jellyfishtxtvtt▶
• The Building Blocks of GTM Orchestration — Arman Vaziri, Ramptxtvtt▶
• In the Land of AI Agents, the Verifiers Are King — Tariq Shaukat, Sonartxtvtt▶
• Insurance Claims Are AI's Messiest Data Problem — Denys Linkov, Wisedocstxtvtt▶
• How to build an AI-Native Health Company — Dan Feng, Maven Clinictxtvtt▶
• Every Solo Agent Builder Eventually Reinvents a Worse Version of CI/CD - Sumaiya Shrabonytxtvtt▶
• Can AI Understand a Distressed Credit? - Harneet Kaur, Axim Intelligencetxtvtt▶
• Context Engineering in 2026 — Louis-François Bouchard, Omar Solano & Samridhi Vaid, Towards AItxtvtt▶
• Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Codertxtvtt▶
• Scaling Compute on Context — Jack Morris, Engramtxtvtt▶
• Why AI Startups Will Disappear Without Compute Markets — Evan Conrad, San Francisco Computetxtvtt▶
• Understanding is the new bottleneck — Geoffrey Litt, Notiontxtvtt▶
• Your agent architecture has a half-life of 6 months — Dan Farrelly, CTO, Inngesttxtvtt▶
• Grep or Embeddings? Agentic Search Over Company Documents — George He, LlamaIndextxtvtt▶
• Harness Engineering: How to Build a Software Factory — Dru Knox, Tessltxtvtt▶
• Don’t be data poor — Anuj Iravane, Anteriortxtvtt▶
• Adaption Labs: Gradient-Free Continual Learning — Sara Hooker, Adaptiontxtvtt▶
• Your AI Agents Shouldn't Care Where They Run - Nikhil Harithas, Factorytxtvtt▶
• Autonomous Agents for Scientific Tasks - Sina Shahandeh, Radicaittxtvtt▶
• Turning Agent Memory Into Skills That Work — Will Lyon, Neo4jtxtvtt▶
• Is Speculative Decoding Worth It? Profiling vLLM on NVIDIA Blackwell — Akamaitxtvtt▶
• The Desktop Frontier — Ahmad Osman, Osmantictxtvtt▶
• The Spatial Harness: Bringing Agents to the Canvas — Max Drake, tldrawtxtvtt▶
• AI Apps in a Flash: Ship to GPUs Without Docker — Dean Quiñanola, Runpodtxtvtt▶
• Your LLM Stack Is a 2008 Database With Better Marketing — Lovina Dmello, NVIDIAtxtvtt▶
• Generative Video at the Speed of Light — Keegan McCallum, uRuntxtvtt▶
• When All Context Matters: Extended Cache Augmented Generation - Luis Romero-Sevilla, Orbistxtvtt▶
• Redesigning How Software Gets Built With AI Agents — Sonar & McKinsey Paneltxtvtt▶
• The Missing Layer in Agentic AI — Giedrius Šteimantas, Oxylabstxtvtt▶
• How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biasestxtvtt▶
• How long can your skills be before your agent forgets what you told it? — Laurie Voss, Arize AItxtvtt▶
• We're the bottleneck, but we don't have to be — Ido Salomon, AgentCrafttxtvtt▶
• We Kept Rebuilding Our AI Agent. Here's What Survived - Fuad Ali, Arize AItxtvtt▶
• From Zero to Leaderboard: Agent Evaluation — Wolfram Ravenwolf, Weights & Biasestxtvtt▶
• Your AI Agent Has No Nervous System — Matt Gibiec, Dynatracetxtvtt▶
• Your Agent Just Paid for Nothing: 6 Attacks on x402 Payments - Ishween Kaur, SoFitxtvtt▶
• Most of Your Docs Readers Are Now AI Agents - Hahnbee Lee, Mintlify & Lincoln Murr, Coinbasetxtvtt▶
• Guardrails First: Engineering Member-Facing Health AI — Rashi Agrawal, Hinge Healthtxtvtt▶
• Keyword Search Is Dying. Is Your Catalog Ready for AI Agents? — PayPaltxtvtt▶
• Agent Speedrun — Elizabeth Fuentes Leone & Sandhya Subramani, AWStxtvtt▶
• KV Cache-Aware Routing and P/D Disaggregation on Kubernetes — Yuchen Fama & Ashish Kamra, Red Hattxtvtt▶
• Design Patterns for AI Trust: Juries, Libraries, and Agent Tiers — Alex Bauer, Upside.techtxtvtt▶
• Build Your Own Team of Managed Agents - Jack Wotherspoon, Google DeepMindtxtvtt▶
• How to Kill the Code Review — Ankit Jain, Aviatortxtvtt▶
• Dashboards Are Dead — Sarah Simionescu, Composiotxtvtt▶
• DeepSWE: A Contamination-Resistant Coding Benchmark — James Shi, Datacurvetxtvtt▶
• ACP: The Universal Remote Control for AI Agents — Alex Hancock, Blocktxtvtt▶
• Persona Engineering: A Field Guide to AI Synthetic Personas — Ishan Anand, InsightSciences.aitxtvtt▶
• Trading Desks to Clinical Trials: Parallels in Applied Vertical AI — Ayush Bhardwaj, Allos AItxtvtt▶
• Stop Giving Your AI Agents API Keys - Kim Maida, Keycard & Mason Egger, Temporaltxtvtt▶
• Why a One-Line Change Can Break Your Whole Stack - Cole Gannaway, Qodotxtvtt▶
• Is a Faster Model Actually Faster? Test the Whole Job — Morgan Suo, MiniMaxtxtvtt▶
• Anthropic's CCA Exam as a Field-Guide for Agentic Engineering — Frank Coyle, UC Berkeleytxtvtt▶
• Imagination Engineering: "Live in the future and then build what's missing."txtvtt▶
• Build Systems, Not Code - Angie Jones, Agentic AI Foundationtxtvtt▶
• Teaching AI to Find Real Vulnerabilities — Prof. David Brumley, Bugcrowdtxtvtt▶
• Build with Perception Agents — Emile Baizel & Shruti Arora, Amazon AGI Labtxtvtt▶
• Building the Engine While Flying the Plane: Launching the Figma MCP Server — Jesse Lumarie, Figmatxtvtt▶
• Build Your Own Finance Agent Inside ChatGPT - Stefano Fabbri & Oliver Steffmann, OpenAItxtvtt▶
• Proving Alpha: How a Hedge Fund Measures AI's ROI - Hari Kumar, Contour Asset Managementtxtvtt▶
• Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AItxtvtt▶
• Computer-Use 2.0: Agents Just Got Multi-Cursor — Francesco Bonacci, Cuatxtvtt▶
• Bringing Continual Learning into Enterprises — Samuel Denton, Applied Computetxtvtt▶
• How Many Credentials Should Your AI Agent Have? Zero. — Jim Clark, Dockertxtvtt▶
• From VLM/VLA's to Embodied Agents — Armen Aghajanyan, Perceptron AItxtvtt▶
• The Cost of Accessibility in AI — Jemima Abu, CAIStxtvtt▶
• Act, Confirm, or Stop? Smarter behavior for AI assistants, wearables & robots — Amit Desai, Rokutxtvtt▶
• Zero Cold Starts: Serverless AI Agents on Akamai Functions — Thorsten Hanstxtvtt▶
• Should AI Engineers Still Read Code in 2026? The Z/L Continuum — Alex Volkov, ThursdAItxtvtt▶
• AI Security Engineer Foundations + Certificate — Javier Garza, Snyktxtvtt▶
• Agent Spending Without Controls — Rodrigo Coelho & Pranav Maheshwari, Edge & Nodetxtvtt▶
• State of Data — Sean Cai, Independent / State of Datatxtvtt▶
• Don't Vibe Code Your Agent Infrastructure - Akshat Bubna, Modaltxtvtt▶
• How to Know When an AI Agent Can Work Unsupervised — Evan Kormos, Coinbasetxtvtt▶
• Data Quality Is the Compute Multiplier — Ari Morcos, DatologyAItxtvtt▶
• How Inference Keeps Up with Our Insatiable Need for Tokens — Cerebras & Gimlet Labstxtvtt▶
• Can Oncology Workflows Run Without Human Touch? - Anant Shankhdhar, Risa Labstxtvtt▶
• Why AI Writing Still Reads Like Slop — Louis-François Bouchard, Towards AItxtvtt▶
• The Era of Compound Engineering — Kieran Klaassen, Every/Coratxtvtt▶
• Build the Right Thing: Product Engineering (Part 1) — Kent C. Dodds, EpicProduct.engineertxtvtt▶
• Your Agreements Are a Database You Can't Query — Hiral Shah, Docusign & Sean Sodha, NVIDIAtxtvtt▶
• The Death of the Code Review: What the Data Actually Says — Laurie Voss, Arize AItxtvtt▶
• Same Model, Different Speed: Why Your Inference Provider Matters — FriendliAItxtvtt▶
• Let Your Agent Cook: Using Skills to Evaluate and Improve Your App — Ankur Duggal, Arize AItxtvtt▶
• Your Voice Agent is Just a Walkie Talkie — Neil Zeghidour, Gradiumtxtvtt▶
• How a Trading Firm Ships New AI Models the Same Day - Noyan Tokgozoglu, Optivertxtvtt▶
• Agents Building Agents - Alfonso Graziano, Nearformtxtvtt▶
• Burn Your Flags: Interactive CLIs for Agents — Mark Lummus & Navinkumar Patil, PayPaltxtvtt▶
• Why Frontier Models Fail as Buy-Side Analysts - Janie Gu, Google DeepMind & Suyeol Yun, LinqAlphatxtvtt▶
• The Lethal Trifecta Is Already on Your Laptops — Michael Patterson, Codertxtvtt▶
• A Bank Built Its Own Coding Agent. It Took Off — Felippe Felisola Caso & Francesco Galletta, Monzotxtvtt▶
• Agents, codebases, and teams — Aditya Khandelwal, Amazon AGI Labtxtvtt▶
• OpenClaw in Your Hand: Building a Physical AI Terminal - Lech Kalinowski, Callstacktxtvtt▶
• Stop Renting Your AI's Memory — Dylan Couzon, Qdranttxtvtt▶
• From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilottxtvtt▶
• SonarQube + OpenAI: Agentic Development — Killian Carlsen-Phelan, Sonartxtvtt▶
• AI Evals for Cross-Functional Teams — Nachiket Paranjape & Swaroop Chitlur Haridas, DoorDashtxtvtt▶
• GPU Died. Training Didn't: Self-Healing Training at Scale — Crusoetxtvtt▶
• The Pipeline Is Dead - Iris ten Teije, Sky Valley Ambient Computingtxtvtt▶
• Does Code Quality Still Matter? It Depends on This — Max Kanat-Alexander, Capital Onetxtvtt▶
• When Agents Meet Physical Data: The Other Physics of Agent Harnesses - Dmitry Petrov, DataChaintxtvtt▶
• Your Agents Need a Save Button - Hamza Tahir, ZenMLtxtvtt▶
• Evaling Video Slop — Maor Bril, Character.aitxtvtt▶
• Prototyping as Leadership: How a CTO Ships with AI Agents — Hursh Agrawal, The Browser Companytxtvtt▶
• Two Bugs That Hid in Plain Sight: A vLLM Debugging Detective Story — Asaf Gardin & Yuval Belfertxtvtt▶
• Get Out of the Model's Way — Kevin Hou, Google Antigravitytxtvtt▶
• Infra behind Krea 2: How to train and serve at scale — Gabriel Jorge Menezes, Krea.aitxtvtt▶
• Weight Folding, CUDA Streams, and the Bug That Made My Model Speak Backwards — Filip Makradulitxtvtt▶
• The Great Loops Debate — Dex Horthy, Geoff Huntley, Ian Livingstone, Greg Pstrucha, @insecure-agentstxtvtt▶
• How AI Agents Pay: Checkout in ChatGPT and Google AI Mode — Sam Parsons, PayPaltxtvtt▶
• Every step you take, every call you make: the reliable agent stack — Giselle van Dongen, Restatetxtvtt▶
• Jev CEO: I made ChatGPT, now I'm building what's nexttxtvtt▶
• Your Coding Agent Is 6 Months Out of Date — Jakub Hojsan, Exatxtvtt▶
• Vending-Bench: Long-Horizon Agent Evals — Lukas Petersson, Andon Labstxtvtt▶
• Vertical Mobility: Inference from MVP to Trillion-Parameter Workloads — Sitanshu Gupta, CoreWeavetxtvtt▶
• Why Your Company Needs a Context Graph (and How to Build It) — Gil Feig, Mergetxtvtt▶
• How to Test AI Agents When No Benchmark Exists — Nathanael Weill, Air Canadatxtvtt▶
• Every AI Company Is Accidentally Building a Bank — Dor Sasson, Stiggtxtvtt▶
• Agentic Development Security — Ezra Tanzer, Snyktxtvtt▶
• Stop Giving Your Agent Tools. Give It a Sandbox - Mikyo King, Arize AItxtvtt▶
• Skill issue: stop deploying vision language models, use them with Skills — Merve Noyan, Hugging Facetxtvtt▶
• Tribal Dungeons of Global Shipping: AI Agents at Global Scale — Dmitry Buykin, Maersktxtvtt▶
• We Cut 94% of AI Coding Tokens With a Local Code Index - Rajkumar Sakthivel, Tescotxtvtt▶
• From Tokenmaxxing to Trusted Throughput — Mingsheng Hong, Ironcladtxtvtt▶
• I Believe Everything My Agents Tell Me: Three Levels of Review — Corey Gallon, Rexmoretxtvtt▶
• Do Not Let Models Invent Numbers - Vinoo Ganesh, Keplertxtvtt▶
• Your AI Product Will Fail Unless You Can Explain It - Veronica Hylak, Hey AItxtvtt▶
• Stop Chatting With Spreadsheets — Francesco Galletta & Felippe Felisola Caso, Monzotxtvtt▶
• Stop Burning Tokens: Why self-improvement needs domain expertise first - Annabell Schäfer, Langfusetxtvtt▶
• Every company should have a Brain — Garry Tan, Y Combinatortxtvtt▶
• The 6 Pillars of an Agentic Harness for Production — Varun Krovvidi, Resolve AItxtvtt▶
• Homa: The End of TCP for AI Clusters — John Ousterhout, Stanfordtxtvtt▶
• Data and Environment Curation for Post-Training LLMs — Mahesh Sathiamoorthy, Bespoke Labstxtvtt▶
• The Software Factory: From Bug Report to Production Code — Davis Palmie, Factorytxtvtt▶
• AI Hackers Are Faster Than Your Pen Test — Eli Cohen, Snyktxtvtt▶
• Frontier results, on device - RL Nabors, Arizetxtvtt▶
• The unreasonable effectiveness of BM25 for agentic search — Jo Kristian Bergum, Hornet.devtxtvtt▶
• Why AI Agents Will Need Their Own Bank Accounts — Lincoln Murr, Coinbasetxtvtt▶
• Agents Without Code: Skills, YAML, and Filesystems Replaced Python — Philipp Schmid, Google DeepMindtxtvtt▶
• Your Voice Agent Doesn't Need a Frontier Model - Joel Allou & Ornella Bahidika, Microsofttxtvtt▶
• Building Self-Learning Loops for Your Agent — Fuad Ali, Arize AItxtvtt▶
• How I Learned to Stop Worrying and Love the Sandbox — Matt Brockman, E2Btxtvtt▶
• Large clusters for small models — Daniel Svonava, Superlinkedtxtvtt▶
• What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhadtxtvtt▶
• Make Your AI Agents Predictable With Graph Engineering - Zachary Blumenfeld, Neo4jtxtvtt▶
• Your Financial Agent Needs to Show Its Work - Anirudh Veeraragavan, Fieldguidetxtvtt▶
• I Made a Fruit Fly Review My Code - Nick Nisi, WorkOStxtvtt▶
• Your Fridge Is a Valid Payment Device — Eleonora Drykina & Nina Žižakić, In The Pockettxtvtt▶
• We Let Our Financial Planners Write the Agents — Matthew Ragone, Rangetxtvtt▶
• How to Write Your First AI Eval - SallyAnn DeLucia, Arize AItxtvtt▶
• Harness Engineering: Building the Production Cage for Powerful Domain Agents — Mike Chambers, AWStxtvtt▶
• x402 isn’t good (yet) — Jan Curn, Apifytxtvtt▶
• Why Are We Still Governing AI Agents Like Software? - Tim Tyler, Graviteetxtvtt▶
• AI Agents Are Just Distributed Systems Now — Salman Munaf, TikToktxtvtt▶
• Designing Voice Agents for Real Conversations - Chintan Agrawal & Daniel Wirjo, AWStxtvtt▶
• Loophole: Adversarial Agents To Stress Test Your Morality — Brendan Rappazzo, Morgan Stanleytxtvtt▶
• The Prompt Is Still a Punch Card - Ted Johnson, JoinIn AItxtvtt▶
• Why Large? Tiny LMs & Agents on Edge/Robotics — Cormac Brick, Googletxtvtt▶
• An AI Research Agent That Runs Your Experiments — Tim Sweeney, Weights & Biasestxtvtt▶
• Advanced Workshop: Mastering AI Observability — Doug Guthrie, Braintrusttxtvtt▶
• How MiniMax M3 Was Built: Sparse Attention and Native Multimodality — Olive Songtxtvtt▶
• How Autoresearch is changing ML research — Zhengyao Jiang, Wecotxtvtt▶
• Sandboxes Aren't Optional: 4 Ways to Isolate Coding Agents — Robert Brennan, OpenHandstxtvtt▶
• Where RL Will Take Search — Maximilian-David Rumpf, SID.aitxtvtt▶
• We Vetted 2000 AI Skills Before They Reached Developers — Lucas Palma, Nubanktxtvtt▶
• Realtime multiplayer, automation, and you! — Idan Gazit, GitHubtxtvtt▶
• Stop Writing Tone Instructions. Layer Them. - Isadora Martin-Dye, Isadora & Cotxtvtt▶
• Full Workshop: Setting Yourself Up for Success —Jason Liu, OpenAI Codextxtvtt▶
• Using LLMs to Secure Source Code — Eugene Yan, Anthropictxtvtt▶
• What a $900M Bank Error Teaches Us About AI Agents - John Feminella, Two Sigmatxtvtt▶
• Beyond Static Intelligence: Evaluating Continual Learning — Parth Asawa, UC Berkeleytxtvtt▶
• Latency Is a Budget. Humanlike Is the Goal. — Jesse Hall, LiveKittxtvtt▶
• No Memory, No Harness: Why the Database Is the Last Line of Defense — Kay Malcolm, Oracletxtvtt▶
• Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AItxtvtt▶
• Designing Agents (The Floor Is the Frontier) — Ben Hylak, Raindroptxtvtt▶
• Why We Deleted Our MCP Server and Rebuilt It — Abhi Arya, Reductotxtvtt▶
• Modality Misalignment and Originality Attribution in Short-Form Video — Aditya Gautam, Metatxtvtt▶
• Building Turbopuffer: Gergely Orosz (@pragmaticengineer ) × Simon Eskildsen (CEO)txtvtt▶
• Everything Is a Rollout — Alex Shaw + Ryan Marten, Terminal-Bench, Harbor, Laude Institutetxtvtt▶
• A Genius With Amnesia - Victor Savkin, Nxtxtvtt▶
• Benchmarks: The Good, the Bad, and the Ugly — Ali Khial, G2itxtvtt▶
• The Human Is an Async API — Melanie Warrick, Temporaltxtvtt▶
• Agentic Sites: Building Hyper Personalized Websites — Carlos Sanchez, Adobetxtvtt▶
• I Gave an AI a Body — Cyrus Clarke, MIT Media Labtxtvtt▶
• Your Moat Is Your Data Model — Mike Phipps, Gates Foundationtxtvtt▶
• The Factory That Dreams: 39 AI Agents, No Framework - Rushabh Doshi, Machinecrafttxtvtt▶
• We Mapped 115 Microservices for Our Coding Agents — Kamalakannan Nandagopal, Postmantxtvtt▶
• Learning on the Job: The Future of Post-Training — Raymond Feng, Applied Computetxtvtt▶
• 1,000 Agent Tasks in a Sandbox: What Breaks When LLMs Run Code — Kevin Orellana, AWStxtvtt▶
• How Agents Cut Hour-Long Data Checks to 5 Minutes - Amol Kapoor & Clifford Ressel, Nori Agentictxtvtt▶
• How to Test Your Agents on Real Tasks With Harbor - Xander Song, Arize AItxtvtt▶
• AI on Your Lakehouse: Context Comes in Shapes, Not Queries — Zach Blumenfeld, Neo4jtxtvtt▶
• The Missing Layer After Launch - Raphael Kalandadze, Wandero AItxtvtt▶
• Active Graph Agent Runtime (BabyAGI 4) — Yohei Nakajima, Untapped Capitaltxtvtt▶
• Why One AI Agent Isn’t Enough (And How to Run 1,000) - CJ Avilla & Harrison Stall, Anthropictxtvtt▶
• Morgan Stanley's ALPHALAB: Multi-Agent Research Across Optimization Domains — Brendan Rappazzotxtvtt▶
• Vector Isn't Enough: Hybrid Search & Retrieval — Jeff Vestal & James Williams, Elastictxtvtt▶
• AI Writes the Code. So What's Left for Engineers? - Laurie Voss, Arize AItxtvtt▶
• AI tools for Forward Deployed Engineering — Vasuman Moza, Varick Agentstxtvtt▶
• Are LLM Performance Benchmarks Reliable? — Ashok Chandrasekar & Jason Kramberger, Googletxtvtt▶
• Ending AI Slop — Thais Castello Branco, Taste Labstxtvtt▶
• Why LLM Recommenders Will Be AI's Biggest Consumer App — Devansh Tandon, Metatxtvtt▶
• You Didn't Ship a Bug. You Just Wrote It for a Human. - Ravi Madabhushi, Scalekittxtvtt▶
• Your Code Has Bugs. Lean4 Has Proofs: Formal Verification for Engineers — Varun Pant, AWStxtvtt▶
• Buying GPUs Should Work Like Buying Stocks — Carmen Li, Compute Exchangetxtvtt▶
• MCP Apps: Give the Model Data, Give the User a UI — Dustin Mihalik, Indeedtxtvtt▶
• Build the AI GTM Agent That Knows the Buyer - Dr. Sajjan Kanukolanu, Position2 (Position Squared)txtvtt▶
• Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub — Arek Borucki, Hugging Facetxtvtt▶
• Don't Let the LLM Drive - Ornella Bahidika & Joel Allou, Microsofttxtvtt▶
• The Next Trillion Internet Users Still Don’t Have an Identity — Adi Singh, AgentMailtxtvtt▶
• We Trust AI Agents That Break Every Day - Shy Ruparel, Temporaltxtvtt▶
• How to avoid disaster when vibe-coding a billing engine — Andrew Garvin, Stripetxtvtt▶
• Einstein Arena: Harnessing Collective Agent Intelligence for Open Science — James Zou, Together AItxtvtt▶
• 1,368 AI Failures and What They Teach About Evals — Vishal Srivastava, New York Life & Tanmay Sahtxtvtt▶
• Video Has No Memory. Here's How We Built One. — James Le, TwelveLabstxtvtt▶
• Why Building an Eval Platform Is Harder Than It Looks — Braintrusttxtvtt▶
• Taking Reinforcement Learning Cross Datacenter — Nan Jiang, Modaltxtvtt▶
• Agent Output Is Not UX: Rendering Layer Your LLM Pipeline Is Missing - Bala Ramdoss, Amazon Lenstxtvtt▶
• How to Get Frontier Coding Results at 70% Lower Cost - Nouha Dziri, Coheretxtvtt▶
• Why Your Enterprise Tech Stack Isn’t Ready for AI Agents — Christopher Lovejoy & Saul Howardtxtvtt▶
• "The engineer of the future is the person who chooses what is worth doing." — Addy Osmani, Anthropictxtvtt▶
• Auth for Agents: Let AI Sign Up for Your Product with auth.md — Michael Grinich, WorkOStxtvtt▶
• Your Agent Evolved. Your Evals Didn't. — Ameya Bhatawdekar, Braintrusttxtvtt▶
• Let's integrate AI Agents in Event-Sourced Systems — Divakar Kumar, FlyersSofttxtvtt▶
• Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arcatxtvtt▶
• I Built a Personal AI Agent on a Raspberry Pi — Jeremy Adams, Neo4jtxtvtt▶
• We Let Claude Code and Codex Race Human Researchers — Elie Bakouch, Prime Intellecttxtvtt▶
• Why AI Agents Should Have Their Own Sandbox — Philipp Schmid, Google DeepMindtxtvtt▶
• How We Mapped a 35-Million-Line Mainframe in 4 Days - Stephen Chin, Neo4j & Neeraj Deshmukh, Blitzytxtvtt▶
• Evals for High-Stakes AI Agents — Doneyli De Jesus & Annabell Schäfer, Langfusetxtvtt▶
• Please… Enough with the Sloppy, One-Shot SaaS Replacements — Mahmoud Abdelwahab, Railwaytxtvtt▶
• The SDLC You Build Yourself — Andy Wong, Andrei Bocan & Shane Wolf, Atlassiantxtvtt▶
• How OpenAI Built ChatGPT for Bankers and Analysts — Joseph Kim, OpenAItxtvtt▶
• AI Security Engineer Foundations + Certificate — Micah Silverman, Snyktxtvtt▶
• Hill-Climbing Skills: Improve Agents Without Changing the Model — Shubhankar Srivastava, Browserbasetxtvtt▶
• MCP Doesn't Suck. Your Agent Does. — Jan Čurn, Apifytxtvtt▶
• The Golden Age of AI Engineering — Alexander Embiricos & Romain Huet & Peter Steinberger, OpenAItxtvtt▶
• Can LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AItxtvtt▶
• Building an Agentic Video Editor for Mass Consumer — Ekaterina Deyneka, Reelfultxtvtt▶
• The Agentic AI Engineer - Benedikt Sanftl, Mutagenttxtvtt▶
• First Steps Toward Automated AI Research — Richard Socher, CEO Recursive AItxtvtt▶
• From AI-Assisted to AI-Native: Building a Frontier Development Team — Clare Liguori, AWStxtvtt▶
• Without Caching, Your AI Agent Costs 10x More - George Cameron, Artificial Analysistxtvtt▶
• We Built an AI Support Agent That Resolves 80% of Tickets — AssemblyAItxtvtt▶
• Your AI Agent Is Hiding Its Mistakes From You - Ben Holmes, Warptxtvtt▶
• IT Admin for the AI Workforce — Sarthak Aggarwal, Decaworktxtvtt▶
• The Future of Evals: From LLM as a Judge to Agent as a Judge — Aparna Dhinakaran, Arize AItxtvtt▶
• You Can't Tell What's Real Anymore. Here's What Comes Next - Cristóbal Valenzuela, Runwaytxtvtt▶
• Recursive Model Improvement — Lee Robinson, Cursor, SpaceXAItxtvtt▶
• Teach Your Agent to Prove It's Done — Nick Nisi & Zack Proser, WorkOStxtvtt▶
• Teaching Agents to Search with NVIDIA Data Designer — Dhruv Nathawani, NVIDIAtxtvtt▶
• Scheduled Agents, Dreaming and Q&A: Claude Managed Agents (Part 3 of 4) — Anthropictxtvtt▶
• 1 Trillion Phone Calls/yr, 10% Error rate: The Crisis in Voice AI — Sumanyu Sharma, Hamming AItxtvtt▶
• When AI Agents Pay and Sellers Monetize: Building x402 Apps on AWS — Anil Nadiminti, AWStxtvtt▶
• From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 — Laurie Voss, Arize AItxtvtt▶
• How to Generate Mergeable Code with a Context Engine — Peter Werry, Unblockedtxtvtt▶
• Beyond the Harness: A Journey Towards Adaptative Engineering - Rajiv Chandegra, Annicha Labstxtvtt▶
• Stop Fine-Tuning to Fix Retrieval Problems — Anant Srivastavatxtvtt▶
• How to Decide What Your AI Agent Should Remember - Wojciech Pluta, Oracletxtvtt▶
• How Anthropic Builds: Lessons from Labs — Mike Krieger, Anthropictxtvtt▶
• Stop Chunking Like It's 2022 — Yuval Belfer, AI21 Labstxtvtt▶
• Agents in Orbit: Workflows, Not Autopilot — Eduardo Simon & Javier Casal, Flywiretxtvtt▶
• Your LLM App Returned 200 OK. It Was Still Wrong. — Marina Petzel, Datadogtxtvtt▶
• The Cheaper AI Model That Costs You More - Rayan Krishnan, Vals AItxtvtt▶
• Why Waiting for the Next AI Model Can Pay Off - John Stecher, Blackstone & Scott Worland, Norm AItxtvtt▶
• Give the Agent a Budget, Not a Token — Sachin Malhotra, Anthropictxtvtt▶
• The Last Human Code Review: Building Trust in AI-Generated Code — Itamar Friedman, Qodotxtvtt▶
• An AI Future Without the Lock-In — Remy Guercio, Tailscaletxtvtt▶
• Build the Right Thing: Product Engineering (Part 2) — Kent C. Dodds, EpicProduct.engineertxtvtt▶
• MCP Tasks (async): Why Aren't Any Agents Supporting Them? — Cornelia Davis, Temporaltxtvtt▶
• Wearing the Agent: From Group Chats to Glasses — Sai Krishna Rallabanditxtvtt▶
• MCP Apps: Primitives, discovery, and the Future of Software - Pietro Zullo, Manufact, Inctxtvtt▶
• Training Taste — Thais Castello Branco, Taste Labstxtvtt▶
• The Half Life of Agent Infrastructure — Ben Kus, Boxtxtvtt▶
• Routing LLM Inference in Production: From Engine Signals to Policy — Qianru Lao & Lu Zhang, OpenAItxtvtt▶
• How Codex Works — Dominik Kundel, OpenAItxtvtt▶
• Building AIE: Open Q&A and Feedback Session with swyxtxtvtt▶
• The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgentstxtvtt▶
• Beyond RAG: Build a Relational Context Engine from Scratch — Peter Werry, Unblockedtxtvtt▶
• The Agentic Web and the Bazaar Era of AI - Ramesh Raskar, MIT Media Labtxtvtt▶
• Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet — David Levine, Kiduna Clubtxtvtt▶
• Build for the Memo, Not the Demo — Shawn Chan, China Resources Holdingstxtvtt▶
• From 15% to 90% GPU Utilization: Fix the Data Pipeline, Not the Modeltxtvtt▶
• Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warptxtvtt▶
• Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karmatxtvtt▶
• Why Your AI Agents Can't Talk to Each Other (Yet) — Vlad Luzin, BANDtxtvtt▶
• The Autonomous Computer: Infrastructure for Computer Use Agents — Ang Li, Simulartxtvtt▶
• From 36% to 100%: How Self-Improving Agents Write Their Own Skills — Rafal Wilinski, Runlayertxtvtt▶
• Learned Execution Graphs for Anomaly Detection & Drift in APIs — Ritvik Pandya, JP Morgan Chasetxtvtt▶
• Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associatestxtvtt▶
• From Ambient Documentation to Clinical Intelligence — Chaitanya Asawa, Abridgetxtvtt▶
• AI Cut Our Research Time From 7 Days to 15 Minutes — Gareth Yoder, Vanguardtxtvtt▶
• Special Topics in Kernels, RL, Reward Hacking in Agents — Daniel Han, Unslothtxtvtt▶
• Move Fast and Don't Break Things: Scaling Databases for the AI Era — PlanetScaletxtvtt▶
• How to Let AI Agents Sign Up for Your App Safely — Isabelle Williams, WorkOStxtvtt▶
• Claude Fable, Claude Tag, and Anthropic's Culture — Cat Wu & Thariq Shihipar ft Simon Willisontxtvtt▶
• Can Your AI Analyst Keep a Secret? - Aaron Linsky, Bridgewater & Nikhil Benesch, turbopuffertxtvtt▶
• Your Agent Is Wasting Tokens and You Don't Know It - Erik Hanchett, AWStxtvtt▶
• AI Writes More PRs. Who Validates Them? — Ali-Reza Adl-Tabatabai, Sonartxtvtt▶
• Why We Rebuilt Microsoft Office From Scratch for AI Agents - Yijia Liang, Compound AItxtvtt▶
• Design at the Speed of Adjectives — Paul Bakaus, Renaissance Geek, Inc.txtvtt▶
• Your Agent Fix Just Broke Something Else - Sofia Jakovcevic, Arize AItxtvtt▶
• What It Actually Takes to Build a Software Factory — Tereza Tížková, Factorytxtvtt▶
• Your Agent Just Authorized What?! — Jay Mok & Ben Coumes, Paypaltxtvtt▶
• Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWStxtvtt▶
• Version-Controlled Search: The Web as It Was — Ryan Ahern, Exatxtvtt▶
• Always-on agents run production without the on-call tax — Justin Smith, Resolve AItxtvtt▶
• Your AI Pilots Won't Move the P&L. Here's What Will - Adam Nahari, Apollotxtvtt▶
• 5 Voice Agent Failure Modes You'll Hit in Week One — Venky B, Plivotxtvtt▶
• The 100-Tool Agent Is a Trap - Sohail Shaikh & Ankush Rastogi, Prosodicatxtvtt▶
• Production Evals For Agentic AI Systems - Nishant Gupta, Meta Superintelligence Labstxtvtt▶
• Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morphtxtvtt▶
• Tethered: Our Agents Are Us — Shu Fang, Two Sigmatxtvtt▶
• Why Your Agent Disagrees With Itself (And What To Do About It) - Diane Lin, Datadogtxtvtt▶
• Catch the Bugs Your Code Review Misses - Killian Carlsen-Phelan & Taylor Luttrell-Williams, Sonartxtvtt▶
• Rebuilding the web for agents — Liad Yosef, MCP Appstxtvtt▶
• Reverse-Engineering the AI Buyer — Aliisa Rosenthal, Acrew Capitaltxtvtt▶
• Building an Autonomous Engineering Org - Angie Jones, Agentic AI Foundationtxtvtt▶
• What Is an Inference Engine, Anyway? — Charles Frye, Modaltxtvtt▶
• How Forward Deployed Engineering is done at Factory — Eno Reyestxtvtt▶
• Your Agent Is a Lethal Trifecta (And What to Do About It) — Kim Maida, Keycardtxtvtt▶
• From Raw Documents to AI-Ready Data — Leo Platzer & Jeff Kosstxtvtt▶
• Long-Horizon Agents Need Experiments, Not Just Prompts — Erina Karatitxtvtt▶
• Loop Engineering from First Principles — Kyle Mistele, HumanLayertxtvtt▶
• Why Your AI Agent Needs a Wallet: USDC and Nanopayments — Harshal Bhangale, Circletxtvtt▶
• Tolan: Voice-First AI Companion — Paula Dozsa, Tolantxtvtt▶
• Your LLM Judge Is a Confident Liar: Building Better Verifiers — Browserbasetxtvtt▶
• Everything we knew about software has changed — Theo Browne, @t3dotgg ​txtvtt▶
• Exploits Now Beat Patches: Open Source Security in the AI Era - Patrick Smyth, Chainguardtxtvtt▶
• The Base Model Is Dead — Varun Singh, Arcee AItxtvtt▶
• Can Your Agent Hear You Now? Building Live Voice Agents with Gemini — Thor Schaefftxtvtt▶
• How Secrets Leak Through AI Agents (and How to Stop It) — Venice AItxtvtt▶
• It’s Tokens All The Way Down: How RLMs are Different — Kevin Madura, AlixPartnerstxtvtt▶
• Total Recall: Agent Memory and Harness Engineering — Ignacio Martinez, Oracletxtvtt▶
• From coding to Knowledge work agents — Karan Vaidya, Composiotxtvtt▶
• How Evals and Prompts Shape Agent Behavior — Preetika Bhateja & Daniel Bump, YouTube Adstxtvtt▶
• The 5 Levels of Self-Driving Production — Eric Schwartz, Traversaltxtvtt▶
• Deep dive on LLM Inference at Scale — Harshul Jain, Audible & Tanmay Sah, Independent AI Researchertxtvtt▶
• Why AI Won't Replace Stock Pickers - Jack Woodruff, Candlestick & Vinoo Ganesh, Keplertxtvtt▶
• 当我们什么都能做，还知道自己想做什么吗？When We Can Do Anything, Do We Still Know What We Want? — Ryo Lu, ex-Cursortxtvtt▶
• Agentic Security: Permissions, Provenance, and the Agent Supply Chain — Steve Yegge, Gas Towntxtvtt▶
• AI is the World’s largest Relationship Therapist — Clay Cockrell & Tony Fabrikant, CoupleWork AItxtvtt▶
• Inside 847 Production Clinical AI Notes — Sebastian Fox, Composotxtvtt▶
• Your Old Prompts Are Making Claude Worse - Lance Martin, Anthropictxtvtt▶
• Content Is Code - Matt Palmer, Conductortxtvtt▶
• Your Finance Agent's Bottleneck Is You — Ramana Siddanth Emani, Auditoria AItxtvtt▶
• Voice agents with Realtime Video — Sidney Primas, LemonSlicetxtvtt▶
• Coding Agents Don't Scale Themselves. Neither Do Your Teams. — Patrick Debois, Tessltxtvtt▶
• Scaling up Continual Learning — Ronak Malde, Trajectorytxtvtt▶
• How Netflix Evaluates AI When There's No Right Answer - Cameron Wolfe, Netflixtxtvtt▶
• Research to Reality with Google DeepMind — Paige Bailey, Google DeepMindtxtvtt▶
• Agents Need Feature Flags - Sachin Guptatxtvtt▶
• Unlock Agent Autonomy: The Runtime for AI-Native Systems — Tushar Jain, Dockertxtvtt▶
• Emulated: The Data for Fully Autonomous Software Engineers and Companies — Joseph Wangtxtvtt▶
• Productionizing LLM Gateways: Architecture, Tradeoffs and Hard Lessons — Kanish Manuja, Twiliotxtvtt▶
• You’re Not Thinking Big Enough: Rebuilding Food Systems with AI Agents — Cody Menefee, Firecrawltxtvtt▶