14:20
AI Dev 26 x SF | Andi Partovi: Why Every Agent Needs a Simulation Sandbox
Andi Partovi, CTO and co-founder of Various AI, makes a rigorous case at AI Dev SF 2026 that conventional testing methods—golden data...
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19:18
AI Dev 26 x SF | Luke Kim: The Agent Data Stack—Why Every AI Agent Needs Its Own Data Stack
Luke Kim, founder and CEO of Spice AI, argues at AI Dev SF 2026 that the modern data stack built for the SaaS era is fundamentally mi...
29:39
Making agentic workflows trustworthy and verifiable with a custom DSL
James Brady from Elicit presents a technically detailed account of how his team built a custom domain-specific language — internally...
18:43
AI Dev 26 x SF | Or Dagan: Optimizing Accuracy, Cost, and Latency in Real-World Agents
Or Dagan from AI21 Labs walks through the practical challenge every production agent team faces: accuracy, cost, and latency cannot a...
17:23
AI Dev 26 x SF | Andrew Filev: Multi Model Pipelines—How to Get Better AI Results for Less
Andrew Filev, CEO of Zenoder, presents findings from his company's in-house applied research lab at AI Dev SF 2026, sharing the resul...
01:20:20
Chip design from the bottom up – Reiner Pope
Dwarkesh Patel sits down with Reiner Pope, CEO of AI chip startup MatX, for a rare bottom-up walkthrough of how AI chips are actually...
31:40
Picking the right model
Lucas from Anthropicʼs applied AI team delivers a practical framework for selecting the right Claude model in production — addressing...
13:10
OpenShell Agents
Sam Witteveen delivers one of the most technically substantive breakdowns of Nvidia's OpenShell runtime to date, arguing that OpenShe...
21:34
Memory and dreaming for self learning agents
Ravi, who leads the API Knowledge team at Anthropic, presents a focused technical talk on Memory and Dreaming — two recently launched...
27:45
AI Dev 26 x SF | Melissa Herrera: Your Agents Should Be Durable
At AI Dev 26, Melissa Herrera — Senior Developer Advocate at Temporal — tackles one of the most overlooked failure modes in productio...
26:16
AI Dev 26 x SF | Ankit Mathur: The Coding Agent Multiverse of Madness
Ankit Mathur from Databricks presented at AI Dev 26 in San Francisco on the enterprise challenges of deploying coding agents at scale...
16:58
AI Dev 26 x SF | Matthew Xu: The 4-Legged Identity Challenge
Matthew Xu, CTO of Agent Fabric, delivered a technical deep dive at AI Dev 26 in San Francisco on what he calls the four-legged ident...
16:21
AI Dev 26 x SF | Idan Raman: The Identity Crisis of Browser Agents
Idan Goldman, co-founder and CEO of Anchor, walks through the full stack of challenges that emerge when AI agents need to authenticat...
10:43
The One Habit That Doubles Your Claude Code Session Limit
Nate Herk walks through the mechanics of prompt caching in Claude Code, showing how a clear understanding of this one system can mean...
36:18
AI Dev 26 x SF | Tom Howlett: Can LLMs Generate Enterprise Quality Code?
Tom Howlett from Sonar examines what he calls the \"enterprise quality gap\"—the growing divergence between the speed at which LLMs g...
20:20
These 5 Companies Secretly Control AI
Nate B Jones argues that the real power brokers in the AI agent economy are not model companies like OpenAI or Anthropic, but a layer...