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.
Guests in this episode

Ivan Leo
Google DeepMindWatch on
Episode Transcript
Cold open
Welcome, Ivan Leo
Instructor, Manus, and the road to DeepMind
What actually shipped at I/O
Launching Gemini Managed Agents
3.2 quadrillion tokens a month
Answering the "DeepMind is cooked" post
Why Google Search came back
Antigravity: CLI, app, and IDE
Gemini Omni, or Nano Banana for video
Demo: one-shot apps on Gemini 3.5 Flash
The errand that felt like AGI
Demo: Managed Agents building a NotebookLM clone
Is Gemini a coding model?
Learning the temperament of a new model
Prediction: agents in everyday life
Where to find Ivan
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