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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50852

AI-Code Wizard an AI Code Review & Generation Assistant

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM50852

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem50852

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

CL

CHANDNANI LUCKY

SM

SREEJA MADDI

TC

THANMAI CHOUDHARY

RAW

RAYYAN ALI WAJID

VN

VONTELA NEELIMA

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Abstract

Designed to simplify and enhance the development of code, AI CodeWizard is a web-based application that employs artificial intelligence and provides dependable online code management for developers. By offering an intuitive interface for developers to write, edit, and manage code with AI assistance in recommending improvements/optimizations or identifying potential bugs. AI CodeWizard is built using React and TypeScript, with a TailwindCSS styled UI, to ensure user responsiveness. Integrated: With integrated user authentication and role- based access control via the Clerk it provides users with a protected workspace where they can log in to. It features a well-organized interface that allows users to navigate between the home page, code editor, and authentication screens. Only authenticated users are permitted to access the editor functionality, which ensures data security and personalized experiences.

KEYWORDS

AI Code Review Smart Code Editor AI-Powered IDE Online Code Editor AI Code Optimization Real-Time Bug Detection Monaco Editor Integration React TypeScript Project Secure Code Collaboration Role-Based Access Control (RBAC) Clerk Authentication AI Code Suggestion Tool TailwindCSS              Interface OpenAI Integration Developer Productivity Tool Code Quality Enhancement ML in Software Development Cloud-Based IDE Next-Gen Web Development

Cite This Article

CHANDNANI LUCKY, SREEJA MADDI, THANMAI CHOUDHARY, RAYYAN ALI WAJID, VONTELA NEELIMA, "AI-Code Wizard an AI Code Review & Generation Assistant," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem50852

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Publication Date

6/20/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Review Report (Confidential)
Copyright Form (Office)

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0

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

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No funding information available for this research.

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