The cost of saying yes has changed

What this post added

This post details how AI agents can generate initial code patches as 'price checks' for feature requests, shifting the expensive part of development from implementation to the decision-making process. It emphasizes that the generated code is a probe, not the product, and that human validation and ownership remain critical. The post introduces the concept of 'pricing uncertainty' as a new engineering skill in an AI-assisted world, where the ability to quickly assess the cost of owning a change, rather than just producing it, is paramount. It suggests moving scope discipline closer to evidence by requesting constrained AI attempts to better understand the true cost and complexity of a change.