AI is an element of this in a number of ways. First, though, this is not a platform for writing AI applications. It's a platform for making it faster to write messaging, social, collaborate, productivity, etc. apps much faster than.
One way AI factors in involves finding a core set of primitives that can describe all software functionality. Programming languages and web frameworks are more granular than Dry and so they require you to write a lot more code. Dry has a higher level of abstraction than concepts like arrays, servers, divs, database tables, etc.
On the other hand, Dry is not just a template system that gives you a predefined set of application types like messenger, social network, discussion group, etc. that you can just specify. That's a higher level of abstraction and can be fairly limiting and brittle.
Dry's abstractions are in at a level that is between those two extremes; it lets your write a lot of apps without needing to be too granular.
There is research in AI called "Knowledge Representation and Reasoning" that identifies fundamental primitives that can express a wide variety of concepts and ideas. I've been a researcher in this field my whole career and was a professor in that area once. We've translated those results into software and have used them to develop a core set of primitives that let you describe the behavior of a lot of software.
I know that is all vague, but we'll start to be more precise and concrete over the next few weeks.
Part of how Dry works is that you give it a data model for your application (which can be quite complex) and we automatically generate the code for storing, retrieving, sharing, etc. that data. Normally for any cloud app that scales, this takes a fair amount of thought and expertise. We automate a lot of that without the programmer even needing to know it's happening.
One way AI factors in involves finding a core set of primitives that can describe all software functionality. Programming languages and web frameworks are more granular than Dry and so they require you to write a lot more code. Dry has a higher level of abstraction than concepts like arrays, servers, divs, database tables, etc.
On the other hand, Dry is not just a template system that gives you a predefined set of application types like messenger, social network, discussion group, etc. that you can just specify. That's a higher level of abstraction and can be fairly limiting and brittle.
Dry's abstractions are in at a level that is between those two extremes; it lets your write a lot of apps without needing to be too granular.
There is research in AI called "Knowledge Representation and Reasoning" that identifies fundamental primitives that can express a wide variety of concepts and ideas. I've been a researcher in this field my whole career and was a professor in that area once. We've translated those results into software and have used them to develop a core set of primitives that let you describe the behavior of a lot of software.
I know that is all vague, but we'll start to be more precise and concrete over the next few weeks.