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

July 29, 2026

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

Episode Transcript

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