AI agents can now write code, run commands, and interact with systems on their own. But letting AI execute actions safely and quickly is still a hard infrastructure problem.
In this talk, Daulet explains how pre-warmed Firecracker sandboxes can help AI agents run tasks securely with very low startup time. Based on his experience building autonomous agent infrastructure, he’ll walk through how modern AI systems isolate execution, manage reliability, and safely handle real workloads in production.
The session will also cover practical lessons from building agent runtimes, where current systems break down, and what it takes to make autonomous AI tools reliable enough for real-world use.
Daulet is a Software Engineer at UseBead, an a16z-backed startup building autonomous agent infrastructure for compliance audits. Previously, he worked on GraphRAG and semantic memory systems at Cognee and spent several years at Meta working on high-throughput infrastructure and reliability systems.
