Google Antigravity vs Jules

Google Antigravity vs JulesComparisonUpdated 2026-03-18

SUMMARY

Google Antigravity (IDE) uses markdown configuration while Jules (Agent) uses markdown. They differ on 1 of 11 compared features. Both tools provide AI-assisted development but take different approaches to project configuration.

FEATURE COMPARISON

Feature	Google Antigravity	Jules	Notes
Config format	markdown	markdown
Hierarchy support	✓	✓	Whether config files can be placed at multiple directory levels
Global config	✗	✗	User-wide configuration outside any project
Project config	✓	✓
Subdirectory scoping	✓	✓	Config files in subdirectories that apply only to that subtree
File inclusion / imports	✗	✗	Ability to include or reference other files from config
Ignore file	✗	✗
IDE integration	✓	Agent
Schema / structure	Free-form (Markdown)	Free-form (Markdown)	Whether config uses structured schema or free-form content
Git committed	✓	✓	Whether primary config files are intended to be version-controlled
Encoding	UTF-8	UTF-8

FILE MAPPING

Purpose	Google Antigravity	Jules
Project instructions	AGENTS.md	AGENTS.md
Project instructions	GEMINI.md	GEMINI.md

SIDE-BY-SIDE CODE SAMPLES

Google Antigravity

AGENTS.md

markdown

# Project Instructions

## Architecture
- Monorepo with apps/ and packages/ directories
- Each app is a standalone Next.js deployment
- Shared packages use TypeScript project references

## Code Standards
- TypeScript strict mode everywhere
- Use Zod for runtime validation at API boundaries
- Prefer server components; use "use client" only when needed
- All database queries go through the data-access layer

## Testing
- Unit tests with Vitest for business logic
- Integration tests for API routes
- E2E tests with Playwright for critical user flows

## Deployment
- Preview deployments on every PR
- Production deploys from main branch only
- Environment variables managed via .env.local (never committed)

Jules

AGENTS.md

markdown

# Agent Instructions

## Project
A Django REST API serving a React frontend.

## Setup
- Python 3.12 with Poetry
- PostgreSQL 15
- Redis for caching and Celery broker

## Key Commands
- poetry run python manage.py runserver
- poetry run pytest
- poetry run mypy .

## Pull Request Guidelines
- Keep PRs focused on a single issue
- Add tests for all new functionality
- Update API docs in docs/api/ if endpoints change
- Run the linter: poetry run ruff check .

## Architecture Notes
- apps/core/ — shared models and utilities
- apps/api/v2/ — current API version
- apps/tasks/ — Celery background tasks

KEY DIFFERENCES

1. IDE integration

Google Antigravity: Supported. Jules: Agent.

WHICH SHOULD I USE?

Recommendation

Choose based on your IDE/CLI preference. If you use Google Antigravity, configure AGENTS.md. If you use Jules, configure AGENTS.md. Many projects include config files for multiple tools so each team member can use their preferred editor.

PORTABILITY TIP

sync-instructions.sh

bash

# Maintain a single source of truth:
cp AI-INSTRUCTIONS.md CLAUDE.md
cp AI-INSTRUCTIONS.md .cursorrules
cp AI-INSTRUCTIONS.md AGENTS.md