What's a practical risk of using an AI coding assistant to generate Kafka consumer/producer boilerplate without review?

AI-generated code can look syntactically correct while getting subtle but critical details wrong — e.g. forgetting to handle a `CommitFailedException` on rebalance, or using an `acks` setting inconsistent with the durability the feature actually needs — and these mistakes often only surface under real failure conditions in production, not in a quick local test.