# Can Google Antigravity 2.0 Pass the "Napkin Challenge"? 📝🚀

> Source: <https://dev.to/googleai/can-google-antigravity-20-pass-the-napkin-challenge-2ai2>
> Published: 2026-05-27 00:02:51+00:00

🚀 From Napkin Sketch to data-driven real-estate advisor Agent in Under 40 Minutes? 🚀

Can a coding agent really work autonomously on complicated problems without human intervention? I decided to put Google’s new Antigravity 2.0 and Gemini 3.5 to the test: The Napkin Challenge. 📝

The goal: Build and deploy a real estate investment advisor - based on real-world data, starting with nothing but a rough sketch on a napkin.

The Result? With the right context, yes!

I used:

Antigravity 2.0 & Gemini 3.5: Architect and execute the plan

Agent CLI Skills: Scaffold, build, test and evaluate the agent using ADK.3

Developer Knowledge MCP: Provided necessary context to connect to BigQuery MCP and integrate the census dataset for grounded investment advice.

Parallelized Workflow using sub-agents: While the system ran the evaluation suite, it simultaneously deployed the agent to Cloud Run.

The Outcome:

The "Napkin Challenge" proves that when you combine the right context with powerful models, the barrier between an idea and a deployed product has virtually disappeared.

I challenge you: What is your "napkin" project? Try it with Antigravity 2.0 and Gemini 3.5. 📝

🚀 How to join the challenge -
