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

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Bibliographic Details
Title: Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review
Authors: Fawzy, Ahmed, Tahir, Amjed, Blincoe, Kelly
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: Vibe coding, AI-assisted programming, AI-generated code
Description: 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.
Document Type: dataset
Language: unknown
Relation: https://zenodo.org/records/17188020; oai:zenodo.org:17188020; https://doi.org/10.5281/zenodo.17188020
DOI: 10.5281/zenodo.17188020
Availability: 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
Accession Number: edsbas.9CD563D3
Database: BASE
Description
Abstract: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