Jul 31, 2025

Building AI agents with Claude in Amazon Bedrock | Code w/ Claude

In a presentation from Code w/ Claude, AWS advocates Du'An Lightfoot, Suman Debnath, and Banjo Obayami introduce Strands, a new open-source Python SDK for building AI agentic applications on AWS. They showcase how Strands simplifies development by focusing on three core components—models, tools, and prompts—and leverages the full reasoning power of foundation models like Claude 3.5 on Amazon Bedrock. The session includes live demos on creating a multi-tool weather agent, integrating with Modular Connected Protocol (MCP) servers for AWS documentation and diagram generation, and using Claude Code to auto-generate a complete Strands agent for AWS CDK.

Jul 31, 2025

Building AI agents with Claude in Google Cloud's Vertex AI | Code w/ Claude

Ivan Nardini from Google Cloud demonstrates how to build, enhance, and productionalize AI agents using Google Cloud's agent stack. The session covers the challenges of deploying agents and introduces the Agent Development Kit (ADK) for building, the Vertex AI Agent Engine for managed deployment, and protocols like MCP and Agent-to-Agent for tool integration and inter-agent communication, using Claude on Vertex AI as the core LLM.

Jul 31, 2025

He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor (Sierra)

Bret Taylor discusses the AI market's shift to autonomous agents and outcome-based pricing, the future of coding with AI, and strategic advice on GTM, pricing, and where to build in the new AI landscape. He shares career-defining lessons from Google, Facebook, and Salesforce.

Jul 30, 2025

How we hacked YC Spring 2025 batch’s AI agents — Rene Brandel, Casco

A security analysis of YC AI agents reveals that the most critical vulnerabilities are not in the LLM itself, but in the surrounding infrastructure. This breakdown of a red teaming exercise, where 7 out of 16 agents were compromised, highlights three common and severe security flaws: cross-user data access (IDOR), remote code execution via insecure sandboxes, and server-side request forgery (SSRF).

Jul 30, 2025

Safety and security for code executing agents — Fouad Matin, OpenAI (Codex, Agent Robustness)

Fouad Matin from OpenAI's Agent Robustness and Control team discusses the critical safety and security challenges of code-executing AI agents. He explores the shift from models that *can* execute code to defining what they *should* be allowed to do, presenting practical safeguards like sandboxing, network control, and human review, drawing from OpenAI's experience building Code Interpreter and the open-source Code Interpreter CLI.

Jul 29, 2025

Enterprise AI Adoption Challenges

Paul van der Boor and Sean Kenny from Prosus detail the journey of Toqan, an internal AI platform that evolved from a Slack experiment into a sophisticated agentic system. They share insights on driving enterprise adoption, key metrics for measuring productivity, and their future vision of an "AI Workforce" where employees architect AI agents to automate complex, cross-system tasks.