Media Summary: From centralized to distributed: In the old world, organizations relied on one centralized 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. which models, tools, and test-time ...

Ai Dev 26 X Sf Adit Abraham Better Agents With Better Data - Detailed Analysis & Overview

From centralized to distributed: In the old world, organizations relied on one centralized 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. which models, tools, and test-time ... Agentic search is (probably) the solution to all of your context problems and

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AI Dev 26 x SF | Adit Abraham: Better Agents with Better Data
AI Dev 26 x SF | Atai Barkai: Fullstack Agents & Generative UI with AG UI
AI Dev 26 x SF: Andrew Ng: The Future of Software Engineering
AI Dev 26 x SF | Aditi Gupta: Building SRE Agents with the Redis Context Engine
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 | Ankit Mathur: The Coding Agent Multiverse of Madness
AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office
AI Dev 26 x SF | Andrew K.  Davies: Deterministic Memory: How to Build an AI That Cannot Lie
AI Dev 26 x SF | Tushar Jain: Shipping Agents Safely, Boundaries That Actually Work
AI Dev 26 x SF | Eli Schilling: Hands On Agent Context & Memory Engineering with Oracle AI Database
AI Dev 26 x SF | Or Dagan: Optimizing Accuracy, Cost, and Latency in Real-World Agents
AI Dev 26 x SF | Carter Rabasa: File Systems Are the New Primitive for AI Agents
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AI Dev 26 x SF | Adit Abraham: Better Agents with Better Data

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

As

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

All UI will be

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

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

At

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

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

At

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 | Luke Kim: The Agent Data Stack—Why Every AI Agent Needs Its Own Data Stack

From centralized to distributed: In the old world, organizations relied on one centralized

Sponsored
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 ...

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

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

Building your first

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

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

What if your

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

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

Agents

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

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

At

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 | Carter Rabasa: File Systems Are the New Primitive for AI Agents

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

At Carter Rabasa's session during

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