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.
AI speeds up delivery and thins out team-level dependencies. Scaling framework mechanics become optional; flow and WIP first principles matter more.
How ARAS Software scaled from startup to 60+ engineers with SAFe, then moved past it when rigid PI Planning started dragging on throughput and innovation.
Growth is supposed to feel like acceleration. For most 50-500 person companies it feels like wading through mud. Four traps that slow scaling companies down.
Is SAFe good? Is SAFe agile? As a SAFe Fellow and Professional Scrum Trainer, I argue both sides — why SAFe is popular and where the criticism lands.
Most transformation programs fail not because people resist change, but because they're run like projects instead of learning systems. Here's what works.