Sandboxing code execution for AI agents

<!-- SC_OFF --><div class="md"><p>I've been experimenting with different ways to give AI agents access to a real computer (not just code execution) and wanted to share what I've

<!-- SC_OFF --><div class="md"><p>I've been thinking about this as local models get better at </p> <p>tool use — shell access, file system, HTTP requests, MCP. </p> <p>If a prompt

<!-- SC_OFF --><div class="md"><p>AWS, Google Cloud, Azure and Cloudflare now all have agent sandboxes.<br /> That makes sense. Agent-generated code should not run directly on the

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<!-- SC_OFF --><div class="md"><p>maybe a basic question to most of you but humor the ignorant here (me)... i actually don't know. is it actually possible to sandbox a frontier

<!-- SC_OFF --><div class="md"><p>been overseeing our AI agent deployment and the numbers are alarming. we have ~400 developers using AI coding agents (mixture of copilot and

<!-- SC_OFF --><div class="md"><p>An interesting observation: I’ve stopped using the LLM-powered autocomplete in my IDE. </p> <p>At first, it was one of the key features for me.

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t5lywi/i_analyzed_922_agentic_task_trace_and_found_the/"> <img alt="I analyzed 922 agentic task trace and