Posts tagged: google-cloud

5 Things Every AI Engineer Should Know About Agent Sandboxes Originally shared by Google Cloud Tech on X - September 1, 2026 Google Cloud Tech highlighted five critical considerations for AI engineers working with agent sandbox environments. These insights are crucial for anyone building secure, reliable AI agent systems. Why This Matters Agent sandboxes are fundamental for: Security isolation - Containing potentially unsafe agent actions Resource management - Controlling computational resources Execution boundaries - Defining safe operational limits Testing environments - Providing controlled spaces for agent development As someone working on AI agent systems at Google, these sandbox principles directly impact how we design memory architectures and agent runtime environments.

Give Your Agents Tools That Scale Down to Zero or Up to Infinity Originally shared by Google Cloud Tech on X - August 26, 2026. By @zeroasterisk and @Saboo_Shubham_. An agent is only as capable as its tools, and in production those tools run as Model Context Protocol (MCP) servers. Every other layer of your stack scales to zero when it goes idle — until last month, a single MCP session pinned every tool call to one container.