Learning to Code with Generative AI: Benefits, Risks, and a Comprehension-First Approach

Abstract: This narrative review examines how generative AI affects programming productivity, novice learning, code reliability, and software-engineering education. AI delivers the most value when students use it to unpack, test, and refine their thinking, rather than just taking generated code at face value. Keywords: Agentic AI, Learning, Coding, Programming

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-08
DOI
https://doi.org/10.5281/zenodo.23246094
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Learning to Code with Generative AI: Benefits, Risks, and a Comprehension-First Approach

Hamd Bin Fayyaz Baig
Zenodo (CERN European Organization for Nuclear Research)
Teaching and Learning Programming
article

Learning to Code with Generative AI: Benefits, Risks, and a Comprehension-First Approach

Hamd Bin Fayyaz Baig
article en

Abstract

Abstract: This narrative review examines how generative AI affects programming productivity, novice learning, code reliability, and software-engineering education. AI delivers the most value when students use it to unpack, test, and refine their thinking, rather than just taking generated code at face value. Keywords: Agentic AI, Learning, Coding, Programming

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Teaching and Learning Programming
DOIOpen Access PDFOpenAlex
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Learning to Code with Generative AI: Benefits, Risks, and a Comprehension-First Approach — Hamd Bin Fayyaz Baig · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS