Imagine a world where coding is not just for seasoned developers but something everybody can partake in, all within the span of a casual afternoon. This was the atmosphere as Logan Kilpatrick and the Google team introduced “Vibe Coding with Gemini 3,” live from Mountain View, as featured on the Google YouTube channel on November 18, 2025. Gemini 3, a groundbreaking AI model, was presented as an exciting tool to bring any idea to life—whether it’s crafting apps that can perceive and respond or creating dynamic games with a mere prompt. The promise of Gemini 3 is to spark creativity and lower the barrier to developing digital experiences.
The session opened with a vibrant overview of AI Studio, highlighting its new build tab, designed for the seamless transition from idea to application. The gallery was introduced, showcasing AI Studio’s prowess in producing aesthetically pleasing web designs, 3D simulations, and engaging games—all without the extensive coding traditionally required. This aspect is indeed a compelling case for Gemini 3’s capabilities, especially as showcased by the demonstration of a hand-tracking rhythm game and a city-building simulation using entity tracking.
However, beneath the elegant gallery interface lies a model that demands precision and robust data input. The authors champion AI Studio as a platform accessible to newcomers, yet one notices, without the expertise to adequately phrase prompts, the applications might not fully realize the desired outcome. This is pertinent when considering the demonstrations involving sophisticated tasks, such as a dancing application using SVG art or interactive floor plan transformation.
While AI Studio offers encouraging prospects with features such as Google Maps grounding and agent mode, there remains a degree of finesse required in understanding the nuances of Gemini 3’s response capabilities. This is where the launch underscores the importance of community engagement and feedback to refine the tool further—a point emphasized by Tulsi Doshi encouraging users to explore and push the boundaries of Gemini 3.
Moreover, the anti-gravity agentic IDE introduces a dimension of asynchronous, long-running tasks complemented by artifact generation—a testament to how AI can augment traditional software development with continuous learning. Yet, this also necessitates a paradigm shift in developer habits, encouraging a more exploratory and iterative approach as seen through the live examples and errors corrected in real-time.
In conclusion, as the session wrapped up, the overarching message was clear: the Gemini 3 launch is not just the debut of a product but an invitation to a new way of engaging with technology. The team at Mountain View showcased both the excitement and the hurdles of AI-driven creativity, hinting at a future where innovation is limited not by technical skill, but by imagination. The artists and engineers behind Gemini 3 invite everyone to pick up a digital canvas and start creating—a powerful message in the age of digital transformation.