Why 'Module Internals Don't Matter' Is Only Conditionally True in the AI Era

A software engineering essay argues that the principle of delegating module internals to AI is valid but must not be treated as an unconditional rule. The author contends that human attention should focus on higher-level concerns such as business logic, domain boundaries, data ownership, and module contracts. When teams hand internal implementation entirely to AI without first hardening boundaries, modules can become silently coupled — for example, by sharing database tables — leading to data inconsistency and failed rollbacks. The author proposes that core interface schemas, acceptance criteria, and data ownership should be defined upfront in a rules file before AI-generated code fills in the internals. Even with high delegation, readability, testability, and performance and security baselines must still serve as a minimum standard inside any module.