ChatGPT as a Fullstack Web Developer - Early Results

Author:

Abrahamsson PekkaORCID,Anttila Tatu,Hakala Jyri,Ketola Juulia,Knappe AnnaORCID,Lahtinen Daniel,Liukko Väinö,Poranen TimoORCID,Ritala Topi-Matti,Setälä Manu

Abstract

AbstractThe arrival of ChatGPT has caused a lot of turbulence also in the field of software engineering in the past few months. Little is empirically known about the capabilities of ChatGPT to actually implement a complete system rather than a few code snippets. This paper reports the first-hand experiences from a graduate level student project where a real-life software platform for financial sector was implemented from the scratch by using ChatGPT for all possible software engineering tasks. The main conclusions drawn are as follows: 1) these findings demonstrate the potential for ChatGPT to be integrated into the software engineering workflow, 2) it can be used for creating a base for new components and for dividing coding tasks into smaller pieces, and 3) noticeable enhancements in ChatGPT-4, compared to ChatGPT-3.5, indicate superior working memory and the ability to continue incomplete responses, thereby leading to more coherent and less repetitive dialogues.

Publisher

Springer Nature Switzerland

Reference13 articles.

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4. Dong, Y., Jiang, X., Jin, Z., Li, G.: Self-collaboration code generation via Chatgpt. arXiv preprint arXiv:2304.07590 (2023)

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