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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52526

A Review on AI-Powered Code Debugger and Explainer

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52526

Volume:

9 |

9 |

Sep 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM52526

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PK

Poornima K.M.1

MHK

Madan H K2

MK

Mizbah Kounain3

MS

Mohamad Saif4

MS

Mohammed Sufyan5

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Abstract

The AI-powered code debugging and explainer has emerged as a promising approach to assist programmers beyond traditional syntax error detection. Prior studies explore conversational debuggers, prompt-based logical error correction, neural machine translation for bug fixing, and educational tools that diagnose common student errors. However, limitations such as dependency on third-party APIs, lack of offline functionality, poor explainability of fixes, and restricted language support remain significant challenges. An AI-powered Code Debugger and Explainer aims to identify both syntax and logical errors across multiple programming languages while providing clear, human-readable explanations. By emphasizing interpretability, accessibility, and educational support, the system seeks to improve debugging efficiency and enhance conceptual understanding for students, educators, and software developers.

KEYWORDS

logical error identification syntax and logic analysis large language models (LLM) AI-powered debugging code explanation programming education.

Cite This Article

Poornima K.M.1, Madan H K2, Mizbah Kounain3, Mohamad Saif4, Mohammed Sufyan5, "A Review on AI-Powered Code Debugger and Explainer," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025. https://doi.org/10.55041/IJSREM52526

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Publication Date

9/8/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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