AI Dev 26 x SF | Andi Partovi: Why Every Agent Needs a Simulation Sandbox

Short summary

AI agents fail in unpredictable ways—hallucinations, tool errors, policy violations—that traditional testing can't catch. Simulation sandboxes create controlled environments with realistic scenarios to test agents before production and catch edge cases. Simulation-driven development is becoming essential infrastructure for teams building production AI agents.

• •Traditional testing misses agent failures that only emerge in production
• •Simulation sandboxes enable realistic scenario testing at scale
• •Simulation-driven development is becoming standard practice for production agents

Generated with AI, which can make mistakes.