How Google Developer Experts vibecoded an AI racing coach with Gemini

Beyond the Chatbot: A Blueprint for Trustable AI → https://goo.gle/4vi2Jaj Trust at Top Speed → https://goo.gle/4dArwz0 Join us as we sit down with GDE Expert Jigasa Grover to explore her team's "AI Racing Coach," an innovative project built entirely using Google's generative AI developer tools. Discover how they leveraged Google AI Studio to decode complex telemetry logs and utilized Antigravity to seamlessly integrate hardware sensors, deploying Gemini Nano for real time edge computing and Gemini 3 Pro for comprehensive post lap evaluation. Whether you are interested in embedded systems or building low latency, multi-model AI architectures, this interview offers practical insights into vibecoding your next edge AI application. Chapters: 0:00 - Intro 1:16 - The AI racing coach concept 2:48 - Why vibecode the AI racing coach? 3:41 - Decoding Telemetry logs with Google AI Studio 5:33 - Using Antigravity to understand embedded systems in racing cars 6:32 - The tech stack 7:35 - Advice for new AI developers 9:06 - Wrap up Watch more Google Cloud Next 2026 → https://goo.gle/next-talks-2026 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #GoogleCloudNext Speakers: Aja Hammerly, Jigyasa Grover Products Mentioned: Google AI Studio, Antigravity