The Role of Generative AI in Software Development Productivity: A Pilot Case Study

TL;DR

This pilot case study explores how generative AI tools impact software development productivity, revealing positive perceptions but also highlighting limitations that need addressing for broader adoption.

Contribution

It provides initial insights into the uses, benefits, and challenges of integrating generative AI tools in software development workflows.

Findings

Positive perception of AI tools improving individual productivity

Identification of limitations and challenges in AI integration

Foundation for future research on AI in software development

Abstract

With software development increasingly reliant on innovative technologies, there is a growing interest in exploring the potential of generative AI tools to streamline processes and enhance productivity. In this scenario, this paper investigates the integration of generative AI tools within software development, focusing on understanding their uses, benefits, and challenges to software professionals, in particular, looking at aspects of productivity. Through a pilot case study involving software practitioners working in different roles, we gathered valuable experiences on the integration of generative AI tools into their daily work routines. Our findings reveal a generally positive perception of these tools in individual productivity while also highlighting the need to address identified limitations. Overall, our research sets the stage for further exploration into the evolving landscape of software development practices with the integration of generative AI tools.