8 ms·

Building Autonomous Goal Loops That Deliver

54 points by jarredkenny 19d ago

madamelic 15d ago
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?
- deleted 15d ago
  [deleted]
- antonvs 15d ago
  > Additionally the post seems to talk in broad strokes AI slop tends to do that.
jasonjmcghee 15d ago
Sorry for the non-substantive comment, but I found the animated line at the top very distracting.
davidw 15d ago
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."
- Garlef 15d ago
  fancy words; it's true, though ~ i think it was clear from the moment LLMs entered the scene that (if) one day they would be able to write code ~ then the real challenge would be to integrate the output into our organizations ~ and this integration would not work without changing the orgs
gps372 15d ago
I would add security and governance review before the scoring layer and ensure that scoring layer should include those feedbacks into next todos.
Oscalemor 15d ago
Any data pre/post implementation feels like everyone wants to optimise this. Caught myself in this too; how do we actually measure it
TooTony 15d ago
Sorry, the animated banner at the top makes it hard for me to focus on reading.
2001zhaozhao 14d ago
Sometimes I still feel uncomfortable with letting the project get to this point, where AI builds everything and even controls the product direction to some extent. But at this point the AI most definitely understands the code and spots bugs better than I can, and it does seem like I can just let an AI bureaucracy run and then have a high-level look over its ideas and things will turn out just fine. If it isn't reliable enough, the problem nowadays is solvable just by adding more review agents.

54 points by jarredkenny 19d ago

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?

deleted 15d ago
[deleted]
antonvs 15d ago
> Additionally the post seems to talk in broad strokes AI slop tends to do that.

jasonjmcghee 15d ago

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

davidw 15d ago

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."

Garlef 15d ago
fancy words; it's true, though ~ i think it was clear from the moment LLMs entered the scene that (if) one day they would be able to write code ~ then the real challenge would be to integrate the output into our organizations ~ and this integration would not work without changing the orgs

gps372 15d ago

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

Oscalemor 15d ago

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

TooTony 15d ago

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

2001zhaozhao 14d ago

Sometimes I still feel uncomfortable with letting the project get to this point, where AI builds everything and even controls the product direction to some extent. But at this point the AI most definitely understands the code and spots bugs better than I can, and it does seem like I can just let an AI bureaucracy run and then have a high-level look over its ideas and things will turn out just fine. If it isn't reliable enough, the problem nowadays is solvable just by adding more review agents.