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I have found that most of these antipatterns can be migitated with adversarial reviews, using a framework such a zeroshot to design the review topology.

Or a custom zeroshot graph based on your actual QA requirements

I also dont get it

We build an open source framework that could be the solution to this problem, as it lets you automate the dev - test - review cycle where there is currently a lot of variance among developers: https://github.com/the-open-engine/zeroshot

(so you can plan instead)


This is great, graphs is also the answer to autonomous coding :D

How so?

We have experienced that adverserial review cycles is the only way to really guarantee good outputs from coding agents - best modelled as a cyclic graph.

I am even more confused after this answer: Are the nodes actual reviews or something else?

I don't think modelling this as a graph adds anything that you wouldn't get from the phrase 'adversarial review cycles' already. So graph theory is pretty much useless for this application.

Please prove me wrong.


what does neuron topology have to do with autonomous coding? MLP problem? doesn't make any sense

Sorry, I'm a bit confused. Could you elaborate?

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