mlsanityData to 14 Oct 2026

Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development

arXiv 2405.06164 ↗First posted 10 May 2024cs.SE cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 25 references that are in the map. First posted on arXiv 10 May 2024.

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References · 2

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2019Self-Driving Cars: A Surveycited by 148

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