Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review

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Název: Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review
Autoři: Fawzy, Ahmed, Tahir, Amjed, Blincoe, Kelly
Informace o vydavateli: Zenodo
Rok vydání: 2025
Sbírka: Zenodo
Témata: Vibe coding, AI-assisted programming, AI-generated code
Popis: This dataset accompanies the paper “Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook – a Grey Literature Review”. It contains systematic extractions from 154 grey literature sources on vibe coding, including 101 included sources and 518 coded behavioral units. Four sheets are provided: (1) GL_Screening_Data_Extraction ( row-level quotes, interpretations, themes, and metadata); (2) GL_QA Scores & Evidence (quality assessment scores with justifications); (3) GL_QA Scoring Guide (the rubric used for scoring); and (4) Stats (summary counts of sources and behavioral units). The dataset allows others to reproduce and build on our analysis of motivations, experiences, QA practices, and code quality perceptions in vibe coding.
Druh dokumentu: dataset
Jazyk: unknown
Relation: https://zenodo.org/records/17188020; oai:zenodo.org:17188020; https://doi.org/10.5281/zenodo.17188020
DOI: 10.5281/zenodo.17188020
Dostupnost: https://doi.org/10.5281/zenodo.17188020
https://zenodo.org/records/17188020
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Přístupové číslo: edsbas.9CD563D3
Databáze: BASE
Popis
Abstrakt:This dataset accompanies the paper “Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook – a Grey Literature Review”. It contains systematic extractions from 154 grey literature sources on vibe coding, including 101 included sources and 518 coded behavioral units. Four sheets are provided: (1) GL_Screening_Data_Extraction ( row-level quotes, interpretations, themes, and metadata); (2) GL_QA Scores & Evidence (quality assessment scores with justifications); (3) GL_QA Scoring Guide (the rubric used for scoring); and (4) Stats (summary counts of sources and behavioral units). The dataset allows others to reproduce and build on our analysis of motivations, experiences, QA practices, and code quality perceptions in vibe coding.
DOI:10.5281/zenodo.17188020