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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM58161

An AI-Powered Developer Assistant for Code Generation, Debugging and Research Automation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM58161

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

SKK

Sai Kiran Khandagale¹

AVP

Anuradha Vishnu Posugade²

TDS

Tanvi Dilip Shedge³

VKK

Veena Kiran Kadale⁴

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Abstract

Software development is the collection of several software production tools requiring some special skills, such as programming language, debugging techniques, and the documents. Meanwhile, novice programmers may have difficultyto write bug free program, figure out and fix bugs, understand documents in technical language. Recently, artificial intelligence techniques has been relatively successfully implemented to assist the developer, particularly in automating her repetitive programming task and improving programming efficiency. This paper proposed an AI-enabled developer assistant that provides several intelligent modules to simplify the development process of this software. Six modules built-in the developer assistant are User Management and Dashboard, Vibe Coding Assistant, AI Debug Mate, research and documentation assistant, Text-to-UI generator, and Voice-to-Text program generator. All modules operate based on the natural language processing and generative AI techniques to instantiate human instruction language to computer program, detect and fix computer bug, extract key ideas of research website, and generate user interface automatically based on command text, respectively. Modular design offers great extensibility and flexibility with a systematic development procedure. Experiments verified the effectiveness of this engine in accelerating programmers task including programming and debugging, and research documentation.

KEYWORDS

Artificial Intelligence Code Generation Natural Language Processing Automated Debugging Developer Assistant Generative AI

Cite This Article

Sai Kiran Khandagale¹, Anuradha Vishnu Posugade², Tanvi Dilip Shedge³, Veena Kiran Kadale⁴, "An AI-Powered Developer Assistant for Code Generation, Debugging and Research Automation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026.

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Publication Date

3/25/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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8

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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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