Main Takeaway: As MCP systems scale from local setups to shared infrastructure, developers face new challenges around security, identity, and ... In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ...

Ai Dev 26 X Sf Tushar Jain Shipping Agents Safely Boundaries That Actually Work -

As MCP systems scale from local setups to shared infrastructure, developers face new challenges around security, identity, and ... In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ... At this workshop, Eda Zhou & Mahdi Ghodsi from AMD explored building personal

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  • As MCP systems scale from local setups to shared infrastructure, developers face new challenges around security, identity, and ...
  • In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ...
  • At this workshop, Eda Zhou & Mahdi Ghodsi from AMD explored building personal
  • From centralized to distributed: In the old world, organizations relied on one centralized data and

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Topic Gallery

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 | Adit Abraham: Better Agents with Better Data
AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office
AI Dev 26 x SF | Pratik Verma: Observability Agent to Find & Fix Issues in AI Agents
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 | Matthew Xu: The 4-Legged Identity Challenge
AI Dev 26 x SF | Paul Everitt: The Shift to Agentic Engineering
AI Dev 26 x SF | Eda Zhou & Mahdi Ghodsi: Building Personal AI Agents with Open Source Models
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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

Read more details and related context about 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 | 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 | 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 | 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

Read more details and related context about AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office.

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

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

Read more details and related context about AI Dev 26 x SF | Pratik Verma: Observability Agent to Find & Fix Issues in AI Agents.

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

Read more details and related context about 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 | 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 data and

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

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

As MCP systems scale from local setups to shared infrastructure, developers face new challenges around security, identity, and ...

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 | 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