What is an AI code sandbox?

This post defines and explains the concept of AI code sandboxes, detailing their historical evolution and current relevance in the context of LLM-generated code. It outlines the technical underpinnings of sandboxes, mentioning gVisor for syscall interception and isolation, and lists key features such as fast cold starts, strong isolation, elastic scaling, and dynamic runtime environments. The post also discusses various use cases for AI code sandboxes, including background coding agents, code reviews, LLM code interpreters, reinforcement learning, and AI-generated apps, positioning Modal as a solution provider for these needs.