Starting and iterating on a Kaggle competition in Google Antigravity

Starting and iterating on a Kaggle competition in Google Antigravity I spent a couple of days on a Kaggle Playground Series competition (S6E7, predicting a three-class health_condition from tabular health data), mostly as an excuse to try Google Antigravity 2.0 with Gemini 3.1 Pro, as part of my Google Developer Expert activity. I wanted to see if an agentic IDE can take a competition from a cold start to a good leaderboard submission. Google Antigravity 2.0 is Google’s agentic development platform, launched a couple of months ago. Unlike a normal IDE, it is built around AI agents that plan tasks, write and run code, and operate the editor, terminal, and browser on their own, then present the work as reviewable artifacts. The agent runs on Gemini 3.1 Pro, Google’s model for complex reasoning and coding. I did not start from scratch. Before opening Antigravity, I used Claude Code to build a starter kit for tabular competitions based on my previous experience: a general playbook, two…