They tightly couple business logic to the database.

Yes, it's a common ask (as well as going the opposite direction with exporting to TF). Historically, for GCP we've used Config Connector to do bulk imports of existing resources as well as exports to Terraform. cloud.google.com/config-conne...

I don't know if there is similar tooling for AWS/ACK?

For a bit more on the motivation and thinking behind Koreo: theyamlengineer.com

With Koreo, you can now viably implement your own internal developer platform in a way that is manageable, scalable, and—critically—actually testable.

Koreo enables platform teams to implement powerful workflows and resource orchestrations that enable the automation of everything from simple deployments to entire cloud environments.

Indeed it was a mistake. github.com/kubernetes/k...

All in all, what a wet fart of a product announcement. Less graphs, more use cases and *showing* the capabilities. Seems like they desperately need a Steve Jobs type person who actually has a vision because I'm not sure if Altman does. This problem doesn't seem to be specific to OpenAI though.

But I'm also guessing $200/mo is the only way this is even economically viable until compute gets wildly cheaper, so I'm not sure about the long term prospects of this stuff.

Unless these AI companies are just content with trying to sell this stuff to engineers, idk how this will ever break into normal consumers until someone has an "iPhone moment" but for GPTs.

Is this what happens when you have a bunch of PhD researchers trying to build an economically viable business? Like wtf is this. At least show a side-by-side comparison telling me why this is so much better than the other versions versus the alphabet soup of model names.

Prompt engineering but the prompt goes to an API instead of a text box.

1. It's super easy to quickly make a thing that does stuff OK (this is like 10% of the work)

2. 90% of the work is the "refinement"

3. I would be hesitant if it was the core of my business and not just a bells-and-whistles feature or productivity enhancement

Probably these are well-understood problems to someone who is not AI-ignorant like me, but my experience led me to a few conclusions...