The sample code is written in Elixir, however, they also release the full specs using which one can generate the application in the language of one's choice. I'm curious if this is really so straightforward.
I have a fork, it's excellent. Complementary to something like symphony which doesn't deliver the harness you need to make working software, attractor's graph orchestration inside the loop that symphony creates can set determinative workflows with the harness openAI (and StrongDM) were talking about using to test.
My personal system uses property testing, fault injection and fuzzing layered on top of playwright and e2e testing behaviors against a digital twin system I have to credit StrongDM for inspiring again.
The specs are inscrutable agent slop. I want it to tell me what it does and instead it just lists database fields. It mentions a state machine and then proceeds to not describe the state machine.
If I wasn’t so attuned to agent slop, I’d be thinking I’m just too dumb to get it but no, whatever GPT model wrote this is not good enough (and the fact this was published by OpenAI suggests this is not an operator skill issue).
