Vibe coding has gained attention as a development approach where AI models like ChatGPT are used to generate code without manual coding.
Despite the allure of quickly creating apps through AI, real-world results often fall short of expectations, with instances of security flaws and performance issues.
Vibe coding may seem appealing for non-technical individuals, but the reality of debugging AI-generated code can be complex and time-consuming.
AI models face limitations such as forgetting previous instructions, leading to challenges in building complex applications seamlessly.
Most AI models are trained on potentially subpar code, introducing vulnerabilities and inefficiencies when used to generate entire applications.
Debugging AI-generated code poses significant challenges due to the lack of understanding of the logic and the absence of proper documentation.
While AI can assist in coding tasks, it cannot replace the expertise of skilled developers or the need for fundamental programming knowledge.
Vibe coding is viewed as more of a gimmick, with the caution that reliance solely on AI for app development may lead to hidden issues and limitations.
In software development, AI should be leveraged to boost productivity, acknowledging that it serves as a tool rather than a complete substitute for human developers.
Ultimately, while trends like vibe coding may arise, the core of software development still relies on human understanding and proficiency in coding.