Neeraj Kumar Saini,
Manas Dhingra,
Shilpi Saxena,
- Student, Lords School of Computer Application, Lords University, Alwar, Rajasthan, India
- Student, Lords School of Computer Application, Lords University, Alwar, Rajasthan, India
- Assistant Professor, Lords School of Computer Application, Lords University, Alwar, Rajasthan, India
Abstract
Vibe coding is a new way of programming driven by LLMs (large language models). It helps developers write code from natural language. Developers can use prompts with artificial intelligence (AI) for code generation. AI assistants generate software directly through text. They can now perform tasks and understand user requirements. This process makes software development faster and easier for developers, but vibe coding has some drawbacks. Sometimes, it leads to security concerns, code authenticity issues, code quality problems, and dependency on AI tools. In this paper, we present a systematic analysis of the risks 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 divides these challenges into subparts, such as technical, security, and human-centric dimensions. The findings highlight the absence of standardized frameworks and secure development practices. AI coding environments need greater security and fully developed frameworks for high-performance coding. This research combines existing knowledge and provides suggestions for future studies to make vibe coding systems more reliable and safer for real-world applications
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 ]
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Recent Trends in Programming languages
| Volume | 13 | |
| Issue | 01 | |
| Received | 08/04/2026 | |
| Accepted | 12/04/2026 | |
| Published | 30/04/2026 | |
| Publication Time | 22 Days |