International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 4
July-August 2026

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Assessing the Impact of Ai Vibe Coding on Reviewing and Debugging Ai-generated Code

Author(s) Mr. Prateek Sharma Kharel, Dr. Suman Thapalia
Country Nepal
Abstract The software engineering landscape is undergoing a radical transition from manual syntax craftsmanship to "Vibe Coding"a paradigm defined by prompt-driven, intent-based software generation. This research quantifies the impact of this shift on the software development lifecycle (SDLC), specifically evaluating the efficacy of code review and debugging. Utilizing a diagnostic pipeline with a 50-developer cohort, this study compares traditional Integrated Development Environment (IDE) workflows against AI-assisted "vibe" workflows (utilizing GitHub Copilot and ChatGPT). Our findings demonstrate a profound "Time Displacement Penalty." While initial development velocity approaches zero, severe debugging penalties and elevated bug escape rates in complex systems fundamentally offset these early gains. We identify a "Cognitive Void" wherein developers exhibit high speed and syntax correctness but suffer from a measurable detachment from system architecture and forensic comprehension. This detachment facilitates "Automation Bias" during peer reviews, where the aesthetic perfection of AI-generated syntax masks deep, hallucinated logic failures. The study concludes that while Vibe Coding is optimal for isolated prototyping, it introduces systemic risks in mission-critical architecture. The data mandates a pivot in software engineering pedagogy from syntax authorship to rigorous forensic curation and adversarial auditing.
Keywords Vibe Coding, Time Displacement Penalty, Cognitive Void, Automation Bias, Forensic Curation, Intent-Based Generation, Bug Escape Rate
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-08-07
DOI https://doi.org/10.36948/ijfmr.2026.v08i04.85314
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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