AI review works best when the context is simple. It falls apart when the system is not.

Artem Lajko draws a line between low-context tasks, like generating a small policy, and rich-context systems with cascading Helm charts and domain-specific assumptions. In those cases, the model may produce output that looks plausible but does not fit the real platform.