AI can generate code faster than ever, but who is responsible for understanding the architecture behind it? As AI-assisted development accelerates, architectural judgment, systems engineering, and long-term maintainability become even more important.

Adding APIs, adapters, and integration layers to legacy defense simulations doesn't automatically make them data-centric. When data assumptions remain embedded in platform architectures, modernization can preserve the very interoperability problems it was intended to solve.