AI has dramatically reduced the cost of generating code. But software engineering isn't just code generation. As implementation gets faster, the real bottlenecks move to planning, architecture, review, testing, deployment, and long-term maintenance. Teams that continue optimizing for coding speed alone will find themselves spending more time fixing problems they could have prevented. Speed Changes Where Engineering Time GoesHistorically, the costs related to change and software rebuilds were massive. However, AI allows organizations to move incredibly fast. By orders of magnitude, engineering previously required more effort than any other SDLC phase. Yet, AI has created a reality where engineers can build quickly, lowering some of these costs of change.