Engineering team composition has historically been organized around the constraint that writing code is slow and skilled developers are scarce. Ratios of developers to product managers, to QA engineers, to designers, to technical writers — all of these reflect an underlying assumption about where the production bottleneck sits. When that bottleneck moves, the ratios that were optimized for the old constraint become wrong. AI-assisted development has moved the bottleneck. For teams working effectively with generation tools, the constraint is no longer coding throughput.

The conversation about AI in software development tends to collapse into two positions: either AI will replace developers, or AI is just a faster autocomplete. Both positions avoid the more interesting question, which is about the specific category of decisions that cannot be delegated and why. Some decisions remain irreducibly human not because the technology is insufficient but because the decision requires accountability, context, and judgment that exist outside the codebase.