To clarify, while we intend to use AI to solve a variety of different problems, we're not using it for actual code synthesis (ie. building apps). Instead we are leveraging code reusability and programmatic stitching/merging for our software assembly line.
In addition to that, we are leveraging various AI/ML techniques throughout the rest of the product development lifecycle, for areas such as pricing/specing/ideation, infrastructure management/scalability, code reusability itself and matching, creator (developer/QA/design) resource matching, sequencing and dependency prioritization, and more.
To clarify, while we intend to use AI to solve a variety of different problems, we're not using it for actual code synthesis (ie. building apps). Instead we are leveraging code reusability and programmatic stitching/merging for our software assembly line.
In addition to that, we are leveraging various AI/ML techniques throughout the rest of the product development lifecycle, for areas such as pricing/specing/ideation, infrastructure management/scalability, code reusability itself and matching, creator (developer/QA/design) resource matching, sequencing and dependency prioritization, and more.