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Authors: Kawasaki Fumitake ; Shota Kishi and James Neve

Affiliation: ELSOUL LABO B.V., Amsterdam, Netherlands

Keyword(s): Framework, AI, Typescript, Serverless.

Abstract: 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Fumitake, K.; Kishi, S. and Neve, J. (2024). Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development. In Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-696-5; ISSN 2184-4895, SciTePress, pages 450-457. DOI: 10.5220/0012681000003687

@conference{enase24,
author={Kawasaki Fumitake. and Shota Kishi. and James Neve.},
title={Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development},
booktitle={Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2024},
pages={450-457},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012681000003687},
isbn={978-989-758-696-5},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development
SN - 978-989-758-696-5
IS - 2184-4895
AU - Fumitake, K.
AU - Kishi, S.
AU - Neve, J.
PY - 2024
SP - 450
EP - 457
DO - 10.5220/0012681000003687
PB - SciTePress

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