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INDONESIA
Jurnal Serumpun Teknik Informatika
Published by Yayasan Ibrahim Learning Centre Agam
ISSN : -     EISSN : 3123965X     DOI : https://doi.org/10.66485/jsti.v1i2
Core Subject : Science,
Computer Science & IT
Jurnal Serumpun Teknik Informatika (JSTI) is intended as a medium for scientific studies of research, thoughts, and critical analyses on computer science and technology research. As part of the spirit to disseminate scientific knowledge derived from research and thought for community service and as a reference source for academics in the field of Computer Science and Technology. Jurnal Serumpun Teknik Informatika (JSTI) is an international peer-reviewed journal dedicated to advancing the field of Informatics. Published by the Yayasan Ibrahim Learning Centre Agam, Indonesia, Jurnal Serumpun Teknik Informatika (JSTI) provides a platform for researchers, scientists, and academics worldwide to publish their research findings and share their knowledge with the broader scientific community.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 11 Documents
 1   2 
Software Engineer Competency Framework in the Era of Generative AI: A Literature Review Muhamad Anggun Novembra
Jurnal Serumpun Teknik Informatika Vol. 1 No. 3 (2026): Agustus 2026
Publisher : Yayasan Ibrahim Learning Centre Agam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66485/jsti.v1i3.34

Abstract

Generative artificial intelligence (GenAI) technologies such as Claude Code, ChatGPT, and GitHub Copilot are fundamentally reshaping software development practices, shifting the core activities of software engineers from direct code authoring toward validation, orchestration, and architectural reasoning. This paradigm shift raises fundamental questions: what competencies do software engineers require to collaborate effectively alongside GenAI, and how do these requirements vary across career stages? A focused literature review informed by the Systematic Literature Review principles of Kitchenham & Charters (2007) and the mapping study guidelines of Petersen et al. (2015) was conducted to address these questions. Findings were synthesized into a three-pillar competency model: foundational technical competencies augmented by AI tool literacy and prompt engineering; cognitive-analytical skills characterized by intensified critical code review, systems thinking, and AI-generated logic verification; and meta-skills encompassing AI governance, ethical judgment, and continuous adaptability, all of which exhibit significant differentiation across junior, mid-level, and senior software engineers. Furthermore, this study identifies a critical research gap: competency evolution at the senior engineering tier remains substantially under-researched compared to junior and mid-level stages. These findings offer practical implications for software organizations and educational institutions in redesigning competency development pathways in the GenAI era

Page 2 of 2 | Total Record : 11

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