Databases for Agents
Luke Wroblewski of Sutter Hill Ventures discusses AgentDB, a database system designed for AI agents, and a paradigm shift in software development where building precedes designing, driven by the power of large language models.
Ai agents
AI Agents + LLM Reasoning: Transforming Autonomous Workflows
Explore the distinction between LLMs and AI agents, focusing on how agents leverage reasoning, tool calling, and the ReAct prompting framework for autonomous decision-making and task execution in complex business workflows.
No Priors Ep. 137 | With Warp Co-Founder & CEO Zach Lloyd
Warp CEO Zach Lloyd discusses the evolution of the developer terminal into an agentic platform, the shift from manual coding to a future of automated development, and the philosophical questions surrounding AI intelligence versus consciousness.
RIP Windows 10, automated code repair and battling the payroll pirates
Experts discuss the security implications of Windows 10's end-of-life, the transformative but cautious integration of AI into Security Operations Centers (SOCs), the promise and peril of AI-driven automated code repair, and the ongoing battle against social engineering attacks like payroll fraud.
Overcoming Agentic Memory Management Challenges
Biswaroop Bhattacharjee from Prem AI discusses Cortex, a novel AI memory system inspired by human cognition. The conversation explores moving beyond traditional flat memory structures to hierarchical, context-aware systems that enable more sophisticated and less noisy retrieval for AI agents.
A2A:The Agent-to-Agent Protocol
Heiko Hotz and Sokratis Kartakis of Google Cloud introduce the Agent-to-Agent (A2A) protocol, a new open standard for enabling stateful, secure, and asynchronous collaboration between AI agents built on different frameworks. They contrast it with tool-use protocols like MCP and discuss its microservices-like architectural benefits.