Quick Overview: More code, fewer staff — the industry is on a bender. But what about quality? At As MCP systems scale from local setups to shared infrastructure, At this workshop, Eda Zhou & Mahdi Ghodsi from AMD explored building personal
Ai Dev 26 X Sf - Detailed Overview & Context
More code, fewer staff — the industry is on a bender. But what about quality? At As MCP systems scale from local setups to shared infrastructure, At this workshop, Eda Zhou & Mahdi Ghodsi from AMD explored building personal Most agentic systems rely on hardcoded heuristics to navigate execution decisions (e.g. which models, tools, and test-time ... Building your first agent is exciting. Building a platform that can evolve into an office where dozens of teams can safely deploy ... Documents are often the true starting point for real-world
In this talk, Ankit Mathur from Databricks, discussed the governance and security challenges of rolling out coding tools at ... Paige Bailey gave us an overview of the latest model releases from Google DeepMind, especially in the multimodal space ... In this talk by Zencoder's Andrew Filev, attendees learned how decomposing tasks into pipelines and dynamically routing them ... This talk by Cline's Ara Khan explains why they went from "evals are useless" to using them as a core part of my agent ... This talk by Qdrant's Thierry Damiba shows how to build a real-time video anomaly detection system that works in open-world ...