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Record W4410916196 · doi:10.55041/ijsrem49231

Code Pen Clone App: A Real-Time Collaborative Web Development Environment

2025· article· en· W4410916196 on OpenAlexaff
Krishna Kakkar

Bibliographic record

VenueINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
Typearticle
Languageen
FieldComputer Science
TopicMobile and Web Applications
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsComputer scienceCode (set theory)World Wide Webclone (Java method)Web applicationOperating systemProgramming languageBiology

Abstract

fetched live from OpenAlex

ABSTRACT This paper presents the development of a CodePen clone—an interactive, real-time online code editor designed to support HTML, CSS, and JavaScript with live preview capabilities. Online IDEs such as CodePen, JSFiddle, and StackBlitz have revolutionized how developers write, share, and experiment with code snippets. However, most platforms offer limited collaboration features or impose commercial restrictions. This research introduces a custom-built platform using React.js, Node.js, WebSockets, and CodeMirror that facilitates real-time collaboration and automatic preview rendering. Users can sign up, create pens (code snippets), preview results live, and invite others for collaborative editing. The tool addresses accessibility, flexibility, and interactivity in modern coding education and showcases potential as a viable open-source alternative for individual learning, classroom demonstrations, and real-time team projects. Keywords—Code Editor, Online IDE, Real-time Collaboration, HTML/CSS/JS Preview, React.js, WebSockets, CodeMirror

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.301
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTSame topicMobile and Web ApplicationsFrench-language works237,207