"Attorney Lin Shanglun's Special Article: The "Vibe Coding" craze brought by Gemini 3.0 is a misunderstood carnival."

When the technical aura of Gemini 3.0 is mistakenly projected onto a pre-existing development tool, we see not only technical misunderstandings, but also collective cultural anxieties. The author of this article is Mr. Lin Shanglun, founder of M-Ross. (Synopsis: Lawyer Lin Shanglun's special article" AI beats three lawyers? Make no mistake, this is the prologue of “Lawyer 2.0”) (Background supplement: Lawyer Lin Shanglun's article from Harvey and Lawsnote judgment, see the copyright war in the AI era) Preface With the release of Google Gemini 3.0, artificial intelligence has once again come into the public spotlight with its amazing capabilities. However, in Taiwan's tech community, a slogan called “Vibe Coding” has been linked to it in an unexpected way and has spread rapidly. This “everyone can be Vibe Coding” craze, accompanied by slogans such as “getting started from scratch” and “democratizing technology”, claims that AI has made program development easier than ever. But if we peel back this narrative sugar coating and face the technical reality, we will find that this is a typical “narrative dislocation” - a phenomenon unique to Taiwan caused by technological anxiety, community culture and market demand. First, technology deconstruction: the real distance between Vibe Coding and real AI applications First, we must clarify the technical definition of “Vibe Coding”. It refers to developers collaborating on coding tasks in an integrated development environment (IDE) by talking to large language models (LLMs) such as ChatGPT or Claude. Cursor, the representative of this tool, has matured since the advent of GPT-4 (more than a year ago). At its core, it is “AI-assisted coding”, which can efficiently produce small applications such as to-do apps, web crawlers, forms systems, or webhook servers. However, the nature of the applications produced by this development process is the same as that of the software of the past two decades. It may save a non-engineer the cost of hiring 100,000 or 150,000 people to develop in the past, but it is not an AI application in itself. A true “AI Application” development, in addition to potentially leveraging Vibe Coding to improve efficiency, necessarily involves a deeper technology stack. One of the simplest criteria is: does your program call the model's API Key? If not, it's not an AI application. Specifically, true AI development typically involves the following key components: Model API calls (API Key): This is the key to enabling your program to interact with the core capabilities of LLM. Embedding and vector database (Vector DB): Used to process and retrieve large amounts of unstructured data, it is the basis for implementing knowledge base question answering. Search Enhancement Generation (RAG): Combined with an external real-time knowledge base to improve the accuracy and timeliness of model answers. Agents and workflow orchestration (Orchestrator): Design AI agents that can autonomously plan and perform complex tasks. However, the above elements are almost completely absent from the Vibe Coding practice, which is currently being enthusiastically promoted in Taiwan. It is reduced to a smarter, more interactive code generator. Therefore, attributing its popularity to the technological breakthrough of Gemini 3.0 is completely illegitimate at all. These two things are technically separate worlds and have no causal relationship in nature. Second, psychological analysis: why Gemini 3.0 ignited this “AI carnival”? Since it is technically unrelated, why are the two closely bound in Taiwan's public opinion field? The answer is not in technology, but in psychology. The release of Gemini 3.0, with its amazing multimodal capabilities, opened a “national AI psychological window” in the public's mind. It has created an atmosphere of “models close to strong artificial intelligence”, triggering widespread intellectual anxiety and fear of missing out. Many people are starting to ask themselves, “Is AI so strong, can I do something too?” “Can I also touch the ability of an engineer?” People urgently need a concrete, operational vehicle to settle this anxiety and prove that they have not been abandoned by the times. “Vibe Coding” plays this role perfectly. It has all the appealing qualities: Low barrier to entry: No deep engineering background is required to get started. High-tech: The process of interacting with AI looks very futuristic. Instant feedback: Quickly produce seemingly complex and showable “works”. As a result, the huge emotional energy inspired by Gemini 3.0 found Vibe Coding as the most convenient outlet. This is a false driven by collective psychology, not the inevitable result of technological evolution. Third, cultural traceability: when the “lazy bag culture” meets a weak engineering culture This phenomenon is particularly pronounced in Taiwan and is closely related to the cultural characteristics of the local technology community. On the one hand, Taiwan's content market and community discussions have long had a high preference for “lazy bags”. Slogans such as “you can do it too”, “getting started from scratch”, “democratizing technology” and “everyone is an engineer” are popular because they are easy to spread and resonate. On the other hand, compared with the mature engineering culture in Europe and the United States, Taiwan still has shortcomings in popularizing the underlying technical concepts. Many users struggle to clearly distinguish between “AI Model (AI Model)”, “Model API (LLM API Key)”, “Development Tools” (Cursor)" and “front-end/back-end programs” and end up confusing them. This conceptual ambiguity is rare in the international community. Foreign engineers have clear boundaries in their understanding of vocabulary: Engineering terminology General understanding Common misunderstandings in Taiwan Coding traditional programming Is this related to AI? AI-assisted Coding AI assists in writing traditional programs This is the AI application! AI apps must call API Keys and models Vibe Coding is AI development? When content creators and educational institutions simplify or even confuse these concepts for marketing purposes, a massive “narrative dislocation” is inevitable. Conclusion: Calm down, in order to really catch the AI boom The “Vibe Coding” craze itself is not a bad thing, it does lower the threshold for programming and improve development efficiency. However, tying it to a technological breakthrough in large models and exaggerating it as a “everyone is an AI developer” revolution can have a misleading negative impact – it not only dilutes the value of the profession, but also makes beginners idling on the wrong path, misestimating the real industry threshold. In the AI era, a deep understanding of AI technology, knowing its boundaries and potentials, and combining it with one's own professional field to become a “conductor” who knows how to ask the right questions and control AI to solve complex problems is the right way to ride this AI boom. Conversely, frantically discussing Vibe Coding while ignoring the nature of AI applications is likely to drift further and further away from AI, and even plunge headlong into the community carnival of fallacies. Related newspapers…