Reference Summary: In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ... Most agentic systems rely on hardcoded heuristics to navigate execution decisions (e.g.

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In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ... Most agentic systems rely on hardcoded heuristics to navigate execution decisions (e.g. At this workshop, Eda Zhou & Mahdi Ghodsi from AMD explored building personal

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  • In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ...
  • Most agentic systems rely on hardcoded heuristics to navigate execution decisions (e.g.
  • At this workshop, Eda Zhou & Mahdi Ghodsi from AMD explored building personal
  • Agentic search is (probably) the solution to all of your context problems and

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

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

Read more details and related context about AI Dev 26 x SF | Atai Barkai: Fullstack Agents & Generative UI with AG UI.

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

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

At this workshop, Eda Zhou & Mahdi Ghodsi from AMD explored building personal

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

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

Read more details and related context about AI Dev 26 x SF: Andrew Ng: The Future of Software Engineering.

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

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

Read more details and related context about AI Dev 26 x SF | Adit Abraham: Better Agents with Better Data.

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

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

Most agentic systems rely on hardcoded heuristics to navigate execution decisions (e.g. which models, tools, and test-time ...

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

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

Read more details and related context about AI Dev 26 x SF | Ondra Urban: Agents with Wallets? Putting 25,000 Tools on x402.

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

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

More code, fewer staff — the industry is on a bender. But what about quality? At

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

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

Agentic search is (probably) the solution to all of your context problems and

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

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

In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ...

How to Connect Any Agent to Any Frontend - Atai Barkai, CopilotKit

How to Connect Any Agent to Any Frontend - Atai Barkai, CopilotKit

Learn how to build agentic applications using CopilotKit and the