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.

Agentic AI promises greater autonomy, but connecting agents to enterprise systems doesn't establish whether information is trustworthy, consistently understood, or authorized for use. The underlying architecture still matters.