Evaluation of AI technologies (code generation) for application development

Alibek Toleukhanov

Bakalářská práce

Abstract:

This thesis embarks on a comprehensive exploration of the integration of artificial intelligence (AI) in code generation for application development, with a particular emphasis on the Flutter framework. It begins by laying the foundation with an introduction and a detailed outline of objectives and methodology. The study then dives into an extensive literature review, starting from the basics of AI, including its history, machine learning principles, various types, and practical use cases. Then I examine application development, categorization, development processes, and the rise of cross-platform frameworks, with a special focus on Flutter, including its history and features. The core of the thesis is an in-depth look at how AI influences code generation in application development. It evaluates the beneficial impacts of AI, addresses the potential negative aspects, and explains the mechanisms behind AI-driven code generation. A list of current tools in this domain is also presented. The practical part of the study involves hands-on application development using Flutter, where AI-generated code is compared against traditional coding methods. This practical experimentation aims to provide a clear understanding of AI's role and efficacy in modern app development. This research aims to bridge the gap between theoretical knowledge and practical application, providing a comprehensive overview of AI's transformative role in application development.

Keywords

AI, Application development, Flutter, Code Generation

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 17. 3. 2024

Obhajoba závěrečné práce

• Vedoucí: Ing. Jan Masner, Ph.D.
• Oponent: Jan Pavlík, Ph.D.

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Bakalářský studijní program:
Informatics