Why AI Agent Reliability Depends More on Debugging Than Prevention

AI agent development teams often struggle with the inability to reproduce production failures, making prevention-first approaches ineffective. SafeRun's approach prioritizes comprehensive state capture and replay mechanisms—allowing engineers to understand failures before creating rules to prevent them—which proves more valuable than pre-flight validation alone. This shift in strategy reflects a deeper insight: reliability infrastructure should be built around reproducibility, not just prevention.