AI Dev 26 x SF | Ara Khan: Evals Are Broken Use Them Anyway

AI Dev 26 x SF | Andi Partovi: Why Every Agent Needs a Simulation Sandbox

AI Dev 26 x SF | João Moura: Building Recurring, Governed, and Embedded Enterprise Workflows

AI Dev 26 x SF | Luke Kim: The Agent Data Stack—Why Every AI Agent Needs Its Own Data Stack

AI Dev 26 x SF | Manos Koukoumidis & Stefan Webb: VibeML: Build your AI model in hours, not months

AI Dev 26 x SF | Daniel Beutel: Flower SuperGrid Agents

AI Dev 26 x SF | Or Dagan: Optimizing Accuracy, Cost, and Latency in Real-World Agents

AI Dev 26 x SF | Andrew Filev: Multi Model Pipelines—How to Get Better AI Results for Less

AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office

AI Dev 26 x SF | Paul Everitt: The Shift to Agentic Engineering

AI Dev 26 x SF | Andrew K. Davies: Deterministic Memory: How to Build an AI That Cannot Lie

AI Dev 26 x SF | Thierry Damiba: Edge to Cloud Video Anomaly Detection

AI Dev 26 x SF | Brandon Waselnuk: Building the Context Engine AI Agents Need

AI Dev 26 x SF | Jerry Liu: My Agent Can't Read a PDF?

AI Dev 26 x SF | Ashwyn Sharma: Every App Needs a Voice UI. Here's How to Build It

AI Dev 26 x SF | Atai Barkai: Fullstack Agents & Generative UI with AG UI

AI Dev 26 x SF | Idan Raman: The Identity Crisis of Browser Agents

AI Dev 26 x SF | Tom Howlett: Can LLMs Generate Enterprise Quality Code?

AI Dev 26 x SF | Erik Thorelli: Deploying AI Code Review at Scale

AI Dev 26 x SF | Brandon Middleton: Vibe Coding Master Class

AI Dev 26 x SF | Ondra Urban: Agents with Wallets? Putting 25,000 Tools on x402

AI Dev 26 x SF | Aman Singla & Aseem Chandra: MarcoPolo, A Workspace for AI to Work with Your Data

AI Dev 26 x SF | Barun Singh & Kennith Jackson; The Hidden Cost of AI Velocity and AI Agents

AI Dev 26 x SF | Matthew Xu: The 4-Legged Identity Challenge

AI Dev 26 x SF | David Park: Building Production Grade Agentic Systems with ADE

AI Dev 26 x SF | Tushar Jain: Shipping Agents Safely, Boundaries That Actually Work

AI Dev 26 x SF | Ankit Mathur: The Coding Agent Multiverse of Madness

AI Dev 26 x SF | Amrita Venkatraman: 3rd Era of Software Development

AI Dev 26 x SF | Vlad Luzin: Herding Cats—The Hidden Challenges of Multi-Agent Autonomy

AI Dev 26 x SF | Melissa Herrera: Your Agents Should Be Durable

AI Dev 26 x SF | Carter Rabasa: File Systems Are the New Primitive for AI Agents

AI Dev 26 x SF | Adit Abraham: Better Agents with Better Data

AI Dev 26 x SF | Paige Bailey: What's New and What's Next in AI

AI Dev 26 x SF | Eli Schilling: Hands On Agent Context & Memory Engineering with Oracle AI Database

AI Dev 26 x SF | William Imoh & Charlie Wood: Closing the Care Gap

AI Dev 26 x SF | Eda Zhou & Mahdi Ghodsi: Building Personal AI Agents with Open Source Models

AI Dev 26 x SF | Aditi Gupta: Building SRE Agents with the Redis Context Engine

AI Dev 26 x SF | Nyah Macklin: The AI Said So? How to Build Auditable AI Agents Using Context Graphs

AI Dev 26 x SF | Jeff Huber: Everything You Need to Know About Agentic Search

AI Dev 26 x SF | Pratik Verma: Observability Agent to Find & Fix Issues in AI Agents

AI Dev 26 x SF: Jean-Marie John-Mathews: Red Teaming LLM Applications Systematically

AI Dev 26 x SF | A Fireside Chat with OpenAI's Marc Manara

AI Dev 26 x SF: Andrew Ng: The Future of Software Engineering

AI Dev 26 x SF | Panel Discussion: Future of Software Engineering

AI Dev 26 x SF | Paige Bailey: Research to Reality

Build Visual AI Agents

AI Dev 26 x SF: Emma McGrattan: Engineering the Context Layer

AI Dev 26 x SF | Marc Brooker: It's Time to Be Right

AI Dev 26 x SF | Anush Elangovan: Impact of AI on Software

Full AI Prompting Course with Andrew Ng

Inside AI Dev 26 × San Francisco

The Ultimate Transformer Course for Working Engineers

Build Interactive Agents with Generative UI

Become an AI power user 🌟 new course from Andrew Ng

📉 Turn your multimodal data into something you can actually query

New course! Spec-Driven Development

Boost LLM performance: New SGLang course is live 🚀

TensorFlow Developer Professional Certificate

Natural Language Processing Specialization by DeepLearning.AI

AI for Everyone by Andrew Ng