Re-thinking DevOps practices to handle accelerating dev throughput

In the age of AI orchestration, gitflow and other dev-centric models just can't keep up with the throughput of pull requests. "Continvoucly morging" breaks down quickly when each dev has migrations, rewrites, SOPS edits, renames, new CI pipelines, and agent file updates. I'd worked for nearly 10 years under such development flows and I already knew when I started as a Founding Engineer at Neno that we would need a new approach to stay competitive and on the cutting edge. I'm going to walk you through exactly how we did it, why the old way is killing your velocity, and what I think the future of deployment looks like. We call it PReFlow . Red Tape and Broken Environments GitFlow can honestly be a great development approach. The pitch sounds reasonable: you have a dev branch, a staging branch, and main (or prod). Code flows through each stage like a responsible assembly line. Merge to dev, deploy, test. Promote to staging, deploy, test. Promote to prod, deploy, pray. In practice? I've fo