Page Summary: In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ... In this talk by Zencoder's Andrew Filev, attendees learned how decomposing tasks into pipelines and dynamically routing them ...

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In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ... In this talk by Zencoder's Andrew Filev, attendees learned how decomposing tasks into pipelines and dynamically routing them ... From centralized to distributed: In the old world, organizations relied on one centralized

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  • In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ...
  • In this talk by Zencoder's Andrew Filev, attendees learned how decomposing tasks into pipelines and dynamically routing them ...
  • From centralized to distributed: In the old world, organizations relied on one centralized
  • Most agentic systems rely on hardcoded heuristics to navigate execution decisions (e.g.

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Visual References

AI Dev 26 x SF | Adit Abraham: Better Agents with Better Data
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: Andrew Ng: The Future of Software Engineering
AI Dev 26 x SF | Or Dagan: Optimizing Accuracy, Cost, and Latency in Real-World Agents
AI Dev 26 x SF | Aditi Gupta: Building SRE Agents with the Redis Context Engine
AI Dev 26 x SF | Atai Barkai: Fullstack Agents & Generative UI with AG UI
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 | Ankit Mathur: The Coding Agent Multiverse of Madness
AI Dev 26 x SF | Andrew Filev: Multi Model Pipelines—How to Get Better AI Results for Less
AI Dev 26 x SF | Paul Everitt: The Shift to Agentic Engineering
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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

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

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

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

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

Read more details and related context about 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 | 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 | Andrew Filev: Multi Model Pipelines—How to Get Better AI Results for Less

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

In this talk by Zencoder's Andrew Filev, attendees learned how decomposing tasks into pipelines and dynamically routing them ...

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