Simon Willison's commentary usefully moves beyond the simplistic debate over lines-of-code metrics to identify a more profound shift: the bottleneck in software creation is becoming conceptual coherence, not code generation. In our view, this analysis is correct but understates the organizational inertia and tooling gaps that will likely hinder this transition. The risk isn't just a Winchester Mystery House of features; it's that the ease of adding 'rooms' with AI could outpace our ability to develop the new architectural practices, review processes, and team roles needed to manage the sprawl. The industry may be underestimating the cultural and methodological change required to harness AI's output without sacrificing long-term maintainability.