Everyone is shouting AI first, but the vast majority of teams simply send a Copilot to the programmers and continue with lengthy requirement review meetings. This article calculates the account very thoroughly: when AI presses down the time for coding from six weeks to two hours, the biggest bottleneck in the company is no longer the engineers. But it's still a monthly planning PM and a three-day manual QA run. If you continue to use Jira to go through that process, no matter how fast the AI runs, it will only end up queuing in your internal system. This 25 person team can deploy 8 times a day in the production environment, and can kill rewrites within a few hours if the data is found to be incorrect. It's not about writing a few more powerful prompts, but about starting over from scratch with the entire codebase, testnet, and organizational structure. The system is responsible for writing code and checking errors, a few architects are responsible for setting rules, and the rest of the staff become operators. The most heart wrenching detail inside is that newly graduated interns adapt faster than senior interns with ten years of experience. Because experienced players need to painfully strip away their proud muscle memory, while newcomers have no technical baggage and can directly dispatch tools.