Deterministic Replay for Production AI Agents: Architecture, Event Sourcing, and State Playback
Deterministic Replay for Production AI Agents: Architecture, Event Sourcing, and State Playback Debugging multi-step autonomous AI agents in production is notoriously difficult. Unlike traditional deterministic software systems where a stack trace and a fixed set of inputs reproduce an error, autonomous agent workflows suffer from compound non-determinism across multiple infrastructure layers. A failure occurring at step 24 of a coding or research agent cannot reliably be reproduced simply by r









