Is Gemini Actually a Coding Model? Google DeepMind's Ivan Leo Answers

Ivan Leo works on Developer Experience at Google DeepMind. He joins Shane Thomas and Abhi Aiyer to demo what he has been building on Gemini and to answer the question Google keeps getting asked: is Gemini actually a coding model? Every demo in this episode runs on Gemini 3.5 Flash. Gemini Managed Agents was the first product Ivan took from first commit to launch. One API call opens the same Antigravity harness Google runs internally and provisions a persistent Linux sandbox. On stream, it builds a NotebookLM-style podcast generator from a one-line prompt, with native text-to-speech. You'll also see a one-shot Windows XP clone, with an animated Clippy and a working Tamagotchi, as well as demos of Gemini Omni, the conversational video model Ivan's team describes as Nano Banana for video. You'll also hear which everyday errand finally made Ivan feel the AGI. Google's internal token consumption has been doubling every few weeks. Ivan was previously a core contributor to Instructor and built knowledge agents at Manus before its acquisition by Meta. 📎 READ MORE Ivan Leo: https://ivanleo.com Ivan on X: https://x.com/ivanleomk Gemini Managed Agents: https://blog.google/innovation-and-ai/technology/developers-tools/managed-agents-gemini-api/ Gemini Omni Flash: https://ai.google.dev/gemini-api/docs/models/gemini-omni-flash fofr on X: https://x.com/fofrAI 📚 MASTRA RESOURCES Website: https://mastra.ai X: https://x.com/mastra_ai Discord: https://mastra.ai/community/discord GitHub: https://github.com/mastra-ai Learn Mastra: https://mastra.ai/learn Principles of Building AI Agents: https://mastra.ai/books/principles-of-building-ai-agents Patterns of Building AI Agents: https://mastra.ai/books/patterns-of-building-ai-agents WHAT IS MASTRA Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development — from prototype to production. ⏱️ CHAPTERS 00:00 Cold open 00:19 Welcome, Ivan Leo 00:48 Instructor, Manus, and the road to DeepMind 02:54 What actually shipped at I/O 03:32 Launching Gemini Managed Agents 04:03 3.2 quadrillion tokens a month 04:44 Answering the "DeepMind is cooked" post 05:57 Why Google Search came back 06:45 Antigravity: CLI, app, and IDE 07:31 Gemini Omni, or Nano Banana for video 09:38 Demo: one-shot apps on Gemini 3.5 Flash 10:51 The errand that felt like AGI 11:08 Demo: Managed Agents building a NotebookLM clone 13:13 Is Gemini a coding model? 14:54 Learning the temperament of a new model 15:47 Prediction: agents in everyday life 17:01 Where to find Ivan