Building Autonomous Goal Loops That Deliver

I do sometimes wonder if we are all writing more than we would if we just wrote the code ourselves.

I am asking that partially as a rhetorical question but also wondering your thoughts on when to deploy 'loop engineering' versus 'one-shot' versus writing the code yourself.

Additionally the post seems to talk in broad strokes without a specific proposal on a 'scorer' / determining adherence to the state goal. Do you have a thought on how that should be expressed? Do you feel that a human in the loop slows things down unnecessarily?

Sorry, the animated banner at the top makes it hard for me to focus on reading.

Any data pre/post implementation feels like everyone wants to optimise this. Caught myself in this too; how do we actually measure it

I would add security and governance review before the scoring layer and ensure that scoring layer should include those feedbacks into next todos.

Sorry for the non-substantive comment, but I found the animated line at the top very distracting.

This makes sense, but boy would it be easy to mix up something like this with some fancy graphics and sell some snake oil. Stuff that sounds like

"What is therefore required is not merely a more capable agent, but a closed-loop capability orchestration substrate capable of continuously reconciling observed product reality against an evolving demand manifold."