Challenges, Risks, and Limitations of Vibe Coding in AI- Assisted Software Development

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 13 | Issue : 01 | Page :
    By

    Shilpi saxena,

  • Neeraj kumar saini,

  • Manas dhingra,

  1. Student, Lords school of computer application, Alwar, Rajasthan, India
  2. Student, Lords school of computer application, Alwar, Rajasthan, India
  3. Student, Lords school of computer application, Alwar, Rajasthan, India

Abstract

Vibe coding a new way of programming driven by LLMs (Large Language Model).it helps developers to write code from natural language. Coders can use prompts to AI for there code generation. Ai assistant generate software directly threw the text. Now they are able to make tasks and understand the user requirements. This process make our development fast and easy for the developers. but vibe coding has some drawbacks sometime it leads security concerns code authenticity, code quality and dependency on ai tools.

In this paper present a systematic analysis of the risk and limitations related to vibe coding. A structured literature review of recent studies is conducted to identify recurring issues such as prompt injection attacks, hallucinated code generation, weak testing and long-term maintainability concerns. the study divide these challenges into subparts like technical, security, and human-centric dimensions. the findings highlight the absence of standardization framework and secure development. AI coding environment needs more security and a fully developed framework for high performance coding. this research combines existing knowledge and give new suggestions for future studies to make vibe coding systems more reliable and safer for real world.

Keywords: Vibe Coding, Large Language Models, AI Programming, software Engineering, Security Risks in vibe coding, Vibe code Quality, Technicalities of vibe coding.

[This article belongs to Recent Trends in Programming languages ]

How to cite this article:
Shilpi saxena, Neeraj kumar saini, Manas dhingra. Challenges, Risks, and Limitations of Vibe Coding in AI- Assisted Software Development. Recent Trends in Programming languages. 2026; 13(01):-.
How to cite this URL:
Shilpi saxena, Neeraj kumar saini, Manas dhingra. Challenges, Risks, and Limitations of Vibe Coding in AI- Assisted Software Development. Recent Trends in Programming languages. 2026; 13(01):-. Available from: https://journals.stmjournals.com/rtpl/article=2026/view=242299


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Regular Issue Subscription Review Article
Volume 13
Issue 01
Received 08/04/2026
Accepted 12/04/2026
Published 30/04/2026
Publication Time 22 Days
114

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