Rethinking Software Development Considering Collaboration with AI Assistants

The integration of AI into software development is transforming coding practices, with tools like GitHub Copilot marking the beginning of AI-assisted development. However, the interaction between developers and AI assistants is not yet well understood, presenting both opportunities and challenges. T...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) pp. 154 - 156
Main Author: Donato, Benedetta
Format: Conference Proceeding
Language:English
Published: IEEE 27.04.2025
Subjects:
AI Assistants
Artificial intelligence
Collaboration
Encoding
HCI
LLMs
Productivity
Software development management
Software engineering
Software quality
ISSN:2574-1934
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The integration of AI into software development is transforming coding practices, with tools like GitHub Copilot marking the beginning of AI-assisted development. However, the interaction between developers and AI assistants is not yet well understood, presenting both opportunities and challenges. This PhD thesis addresses three core objectives: (1) improving the effectiveness of developer-AI interactions, (2) redefining development practices to incorporate AI as an essential collaborator, and (3) exploring collaborative dynamics within mixed teams of developers and AI agents. The aim is to establish methodologies that can boost productivity and software quality, paving the way for seamless human-AI collaboration in development.
ISSN:2574-1934
DOI:10.1109/ICSE-Companion66252.2025.00045