Most teams are bolting AI agents onto a software lifecycle built for humans — and then wondering why the speed never shows up. This episode makes the case that building software with AI isn't mainly a coding problem; it's a coordination and context problem. Drawing on DORA, McKinsey, Forrester, and AWS's open-source AI-Driven Development Lifecycle, Mat walks through what an end-to-end AIDLC actually has to handle — from turning the undocumented knowledge your organization runs on into context agents can act on, to the production feedback loop most teams forget to protect.