With Google's official launchGemini 3 modelThe topic of AI-assisted program development has once again become a focus. In an earlier online event, Sami Kizilbash, Head of Google Developer Ecosystem Asia Pacific, and Logan Kilpatrick, Head of Google AI Studio and Gemini API Products, discussed the emerging trend of "Vibe Coding".
What is "Vibe Coding"?
The term "Vibe Coding" refers to the idea that developers no longer need to write tedious code line by line. Instead, they can describe ideas, functions, and interface "atmosphere" through natural language, allowing AI to help generate working applications. In an interview, Logan Kilpatrick stated that Gemini 3 has moved this development experience from "experimentation" to a more "practical" stage.
For example, users can directly describe what they want to create through Gemini, and Gemini will generate the relevant code based on the description. Alternatively, they can use Gemini AI Studio to create services with more resources. YouTube has also previously launched the Playables Builder feature, which operates on the Gemini 3 model, allowing creators to create games with zero coding simply by speaking.
Gemini 3: Empowering Developers to Be More Ambitious
Logan Kilpatrick points out that when developing with the old model, developers often had to be very careful because if the instructions were too complex, the code generated by the model was prone to "crashing" or getting into logical chaos. However, after introducing Gemini 3, the biggest change is that the model's reasoning ability and speed have been greatly improved.
"I now have to remind myself to be more ambitious," said Logan Kilpatrick, noting that Gemini 3 can understand longer and more complex contextual requirements. In a demonstration, Kilpatrick showed how, despite not knowing music theory himself, he used Google AI Studio to quickly generate a "music theory teaching app" with visual chords and a "multi-user drawing canvas" that supports multi-user collaboration within minutes. This would have previously required a lot of time to handle backend WebSocket connections and synchronization issues, but now it can be quickly prototyped using natural language commands.
Since Vibe Coding's main operating method is to continuously communicate with AI through natural language and have AI assist in turning ideas into actual program code, Logan Kilpatrick believes that this can significantly reduce the difficulty of past coding work and attract more people to create application services, rather than only having technical talents with professional coding knowledge to conceive content.
Overcoming language barriers: Writing code in your native language
Regarding language support concerns raised by developers in the Asia-Pacific region, Logan Kilpatrick emphasized that Google's model is trained in a global manner, which is why Gemini 3 performs exceptionally well in multilingual understanding. This means that whether using Vietnamese, Chinese, or other languages, developers can describe their needs in their most familiar native language, achieving the Vibe Coding experience of "writing programs in their native language." This will significantly lower the barrier to entry for non-English speaking countries to begin programming.
Vibe Coding: Realities and Challenges – The Gap Between 2D Mini-Games and AAA Titles
While Vibe Coding significantly lowers the barrier to entry for developers, I also asked about the impact of STEM education on future talent development, as well as the current limitations of technology.
Logan Kilpatrick acknowledged that while AI can empower more people to become developers, debugging and security remain key challenges. Even minor errors in AI-generated code can trap beginners in a "prompt loop." Furthermore, to address security and privacy, Google has implemented a smarter Agent Harness mechanism in AI Studio to prevent AI from accidentally overwriting critical logic or creating injection vulnerabilities when modifying code. However, developers still need a certain level of cybersecurity awareness, meaning that to create more advanced, complex applications or services requiring more robust architectures, users still need a certain level of programming skills and knowledge.
Therefore, Logan Kilpatrick does not believe that once Vibe Coding becomes a market trend, it will affect the existing coding industry. On the contrary, it will make it easier for educational institutions and learning organizations to promote the popularization of coding knowledge and even help strengthen the STEM teaching content in schools.
Regarding the question many people have about whether it's possible to create a AAA game using Vibe Coding, Logan Kilpatrick holds reservations. He stated that the current Gemini 3 is well-suited for creating indie games, simple 2D games, or rapid prototyping. However, AAA games involve complex graphics rendering workflows, extreme performance optimization, and massive asset management, which Vibe Coding technology clearly lacks. He also expressed hope that future advancements in AI technology might open up different possibilities.
Analysis of viewpoints
Judging from the performance of Gemini 3, Google is indeed redefining software development. Future engineers may no longer be just simple "coders," but more like "product managers" or "architects," focusing on how to accurately communicate design requirements to AI, with AI assisting in development, and then making subsequent fine-tuning and debugging.
As Logan Kilpatrick stated, Vibe Coding is not intended to replace professional developers, but rather to eliminate the fear of "facing a blank editor".
For experienced developers, it can quickly handle the tedious code prototyping, allowing more time and manpower to focus on creative ideas and detail processing; for beginners, it serves as an accelerator to help realize their ideas. Although it still has limitations in AAA game production or systems with extremely high security requirements, this boundary will inevitably become increasingly blurred as the pace of model iteration accelerates.
