How to Customize Your SAFe for the AI Age
Most of your scaling apparatus is now optional. Your first principles are not. A companion for leaders running SAFe while adopting AI-native, spec-driven development, and trying to tell the difference.
Most of your scaling apparatus is now optional. Your first principles are not. A companion for leaders running SAFe while adopting AI-native, spec-driven development, and trying to tell the difference.
Is Scrum still relevant when agents write the code? Yes, and more than before, provided you are willing to customize it. A companion to the Scrum Guide walking the accountabilities, events, artifacts, and values for a team running an AI-native, spec-driven lifecycle.
A companion to the Kanban Guide for Scrum Teams for AI-native product teams. What changes in your Definition of Workflow, WIP limits, flow metrics, and Scrum events once agents do the building, and what happens to scaling when the old dependencies start dissolving.
AI agents write code faster than ever, but the bottleneck moved to human decision latency and review capacity. Here is the operating model that closes it: roles, rituals, and metrics.
Your PR queue tells you what is waiting, not how spec-driven agentic work is actually flowing. A draft-first Git flow gets real flow metrics out of the metadata you already have.
AI work pays off when it starts from a real business constraint, not a tool wishlist. Run a small test and check the problem is worth solving.