MétaCan
Menu
Back to cohort
Record W4410916196 · doi:10.55041/ijsrem49231

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

2025· article· en· W4410916196 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.852
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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