As AI agents become first-class consumers of open-source data platforms, familiar reliability patterns start to break down. This talk looks at failure modes around changing data, dynamic execution, side effects, lineage, and replay, and explores the infrastructure patterns needed to make agentic systems reproducible, debuggable, and recoverable.