Testing Distributed Systems

Testing distributed systems is hard due to scale and changing the system's environment can affect how the system performs. Sampling and observability offer ways forward.

AI: the reality

LLMs excel at generating new artefacts but fail when asked to interpret and safely update existing ones. Their value lies in text creation tasks (research, summary, explanation, deep dives), not system modification.