You can already make your coding agent profile your game. You can make it optimize code. You can even make it drive parts of the Unity Editor.
Nice. But that still does not mean you have an autonomous dev loop. It just means you have better tricks.
This lesson is where the whole thing starts becoming dangerous. We stop treating AI like a glorified code monkey and start chaining planning, implementation, verification, memory, and steering into one workflow that keeps moving after you step away from the keyboard.
Across two videos, we go from rough game idea and GDD generation to a playable Unity MVP built through repeated implement-and-verify cycles. Not pretty. Not magic. But very real.
Practical next step: if you want to test whether your current workflow is actually autonomous, ask one brutal question:
can it keep shipping useful work after you leave the keyboard?
This is how you turn scattered AI wins into a repeatable production loop that saves real dev time instead of creating more babysitting overhead.
Below, I’ll show you how to scope for autonomy, build the GDD, run the loop, catch bad verification, and steer the system toward a playable result.