Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development
This addresses the need for developers to integrate AI into apps without deep AI knowledge, though it appears incremental as it builds on existing framework concepts.
The authors tackled the problem of existing web and mobile frameworks being outdated for modern AI-driven app development by introducing Skeet, a lightweight serverless framework that enables developers to easily incorporate AI technologies, with an initial evaluation showing it supports current architectural trends.
The field of web and mobile software frameworks is relatively mature, with a large variety of tools in different languages that facilitate traditional app development where data in a relational database is displayed and modified. Our position is that many current frameworks became popular during single server deployment of MVC architecture apps, and do not facilitate modern aspects of app development such as cloud computing and the incorporation of emerging technologies such as AI. We present a novel framework which accomplishes these purposes, Skeet, which was recently released to general use, alongside an initial evaluation. Skeet provides an app structure that reflects current trends in architecture, and tool suites that allow developers with minimal knowledge of AI internals to easily incorporate such technologies into their apps and deploy them.