Year: 2025
Type: article
Abstract: The merging of AI and software engineering marks a defining moment: intelligent systems now move beyond simple code completion or test automation to become active partners in each phase of development. We term this “Artificial Software Engineering,” a collaborative framework where human ingenuity and machine intelligence co–author software—from early prototypes and code generation to debugging and architectural design (Menzies et al., 2019). By looking at platforms like Devin AI and GitHub Copilot, we see clear benefits—faster iterations, deeper error detection—but also face new challenges around trust, ownership, legal responsibility, and maintaining AI‐influenced code over time. Rather than treating automation as an end goal, we argue that this emerging discipline demands fresh thinking about ethics, team dynamics, and design practices. Ultimately, the most successful software.
Authors: Zafar Jafarov, Atif Namazov, Javid Abbasli, Khalid Nazarov, Sevinj Aliyeva
Institution: Azerbaijan Technical University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412810792