<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>agents on Alan Blount | AI/ML Engineer at Google</title><link>http://zeroasterisk.com/tags/agents/</link><description>Recent content in agents on Alan Blount | AI/ML Engineer at Google</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="http://zeroasterisk.com/tags/agents/index.xml" rel="self" type="application/rss+xml"/><item><title>5 Things Every AI Engineer Should Know About Agent Sandboxes</title><link>http://zeroasterisk.com/2026/09/5-things-every-ai-engineer-should-know-about-agent-sandboxes/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>http://zeroasterisk.com/2026/09/5-things-every-ai-engineer-should-know-about-agent-sandboxes/</guid><description>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.</description></item></channel></rss>