This raises an interesting question about how much software architecture needs to evolve as AI becomes part of everyday development. With AI making implementation faster and easier, the way we approach design decisions, system boundaries, and long-term maintainability deserves even more attention.

One thing I find particularly important is that generating code faster doesn't automatically mean building better systems. Good architectural decisions still require experience, critical thinking, and an understanding of the bigger picture. AI may change how software is built, but the need for thoughtful engineering certainly isn't going away.