Codex: Web-Based Online Compiler with Debugger and Optimizer

Software development often faces challenges related to code compilation, error detection, and debugging efficiency. Traditional compilers only identify syntax errors without providing meaningful explanations or corrective suggestions, making the debugging process time consuming for developers. To address these limitations, we propose CodeFixer – a cloud based online compiler that not only compiles and executes programs in real-time but also detects, analyzes, and automatically suggests fixes for bugs in the code. The system leverages artificial intelligence and machine learning models to identify syntax and logical errors, provide contextual explanations, and recommend optimized code corrections. With integrated debugging support and an interactive interface, CodeFixer enhances user understanding and accelerates the development workflow. Designed for both students and professionals, it offers a smart, accessible, and educational environment for coding and learning

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-31
DOI
https://doi.org/10.5281/zenodo.17490598
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Codex: Web-Based Online Compiler with Debugger and Optimizer

Zenodo (CERN European Organization for Nuclear Research)
Teaching and Learning Programming
article

Codex: Web-Based Online Compiler with Debugger and Optimizer

article en

Abstract

Software development often faces challenges related to code compilation, error detection, and debugging efficiency. Traditional compilers only identify syntax errors without providing meaningful explanations or corrective suggestions, making the debugging process time consuming for developers. To address these limitations, we propose CodeFixer – a cloud based online compiler that not only compiles and executes programs in real-time but also detects, analyzes, and automatically suggests fixes for bugs in the code. The system leverages artificial intelligence and machine learning models to identify syntax and logical errors, provide contextual explanations, and recommend optimized code corrections. With integrated debugging support and an interactive interface, CodeFixer enhances user understanding and accelerates the development workflow. Designed for both students and professionals, it offers a smart, accessible, and educational environment for coding and learning

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 37%
Teaching and Learning Programming
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