Why is reviewing an AI-generated Kafka consumer's error-handling logic especially important compared to reviewing typical CRUD code?

Kafka consumer failure modes are non-obvious (poison-pill messages that fail forever and block the partition, at-least-once delivery causing silent duplicate processing) — code that looks fine on the happy path can silently degrade an entire consumer group's throughput or correctness in ways that don't show up until a specific edge case occurs in production.