The Definitive Google Antigravity Masterclass 2026

What is Google Antigravity?

Announced November 18, 2025 alongside Gemini 3, Google Antigravity is a complete, standalone, agent-first development platform built on a heavily modified VS Code fork. Where Copilot and Cursor improved the "type" phase — predicting next tokens — Antigravity eliminates the linear workflow entirely: describe → review → approve → deploy.

The AI is not a tool for writing code — it is an autonomous actor that plans, executes, validates, and iterates. Agents get direct access to three environments simultaneously:

The Developer as Mission Controller

You transition from "writer of code" to "architect" or "mission controller." Define the what and why. Agents handle the how. Review artifacts, provide feedback, approve — exactly how a senior engineering manager directs a team.

Installation & First Launch

Free public preview for personal Gmail accounts. Under 10 minutes to set up on Windows, macOS, and Linux.

Interface Deep Dive — Editor vs. Manager View

Editor View — The Hands-On IDE

Familiar VS Code experience with three AI enhancements: Tab Completions (project-aware suggestions), Inline Commands (highlight → refactor/explain/debug), and Chat Panel (architecture conversations).

Manager View — Mission Control

The game-changer. Spawn, monitor, and review multiple autonomous agents in parallel:

Workspaces: Each agent in its own workspace. Run 5+ agents simultaneously across projects.

Artifacts Pane: Task checklists, implementation plans, screenshots, browser recordings — your "proof of work."

Browser Recordings: Watch the agent navigate your app, click buttons, verify functionality.

Changes Sidebar: Git-style diff of every modification. Review every line before committing.

Planning Mode vs. Fast Mode

Planning Mode (recommended): Generates task checklist + implementation_plan.md before writing code. Comment on the plan like a Google Doc before execution begins.

Fast Mode: Skips planning, immediate code generation. Best for quick fixes and one-line changes only.

Gemini 3.1 Pro & Available Models

Released February 19, 2026 by Google DeepMind. The primary engine powering Antigravity.

Three-Tier Thinking

Low: Fast, minimal reasoning. Completions, boilerplate. Medium: Balanced (new in 3.1). Most vibe coding tasks. High: Maximum depth. Complex architecture, subtle debugging.

All Models in Antigravity

Vibe Coding Fundamentals — The DDS Methodology

Not "letting AI write code." A structured methodology where you architect intent, constraints, and quality — AI handles syntax. I built 12 production systems valued at $10.75M-$13.1M with this approach.

The Five Pillars

Meta-Prompting — The Expert Technique

Use one AI to write prompts for another. Describe your project to Gemini chat in plain language → Gemini generates a structured technical spec → paste into Antigravity. Consistently produces better results than hand-crafted prompts.

Step 1: In Gemini Chat (gemini.google.com)
"I need to build a [describe project in plain language].
Can you write me a detailed technical spec I can paste
into my coding agent?"

Step 2: Copy Gemini's spec → Paste into Antigravity

Step 3: In Antigravity (Planning Mode):
"Read the following spec and build this application.
Create an implementation plan first."
[Paste spec]

The Context File System

Professional vibe coders create these files in every project root. They persist across sessions and give every agent consistent awareness:

# Create these in your project root:

gemini.md       — Tech stack, architecture constraints, coding standards
brand.md        — Colors, typography, UI patterns, tone of voice
architecture.md — Component hierarchy, data flow, API contracts
security.md     — Auth patterns, validation rules, data policies
prompts.md      — Your best-performing prompts for reuse

# Antigravity reads these automatically when relevant.
# They replace repeating yourself every session.

25 Core Copy-Paste Prompts

Every prompt below is tested, production-grade, and ready to paste into Antigravity. Organized by category with skill-level tags. Use Planning Mode for all prompts marked Intermediate or above.

🏗️ Scaffolding & Project Setup

⚛️ Frontend & UI

🔌 Backend & APIs

🧪 Testing & Quality

🚀 DevOps & Deployment

🔧 Refactoring & Optimization

🛍️ Shopify-Specific

🏢 Full Application Builds

📚 Documentation & Code Quality

🤖 AI & Multi-Agent

25 "How to Build It" Prompts — From My $10.75M Portfolio

These aren't theoretical. Every prompt below is reverse-engineered from systems I actually built and run in production. Each one teaches you a real architecture pattern while building something immediately useful.

🧠 Build My AI Systems

🎮 Interactive & Gaming

📊 Data & Analytics

🔐 Security & Auth

🛍️ Shopify Advanced

📱 Mobile & Cross-Platform

🔄 Automation & Workflows

📖 Education & Knowledge

🏗️ Skills & Workflows

🌐 API Integrations

🧰 Developer Tools

⚡ Advanced Architecture

Agent Skills, Rules & Workflows — The Trinity

Three systems that transform Gemini from a generalist into a specialist that knows your codebase, your standards, and your workflow.

Rules — Always-On Guardrails

Loaded into every prompt. Keep them short — they consume context on every interaction.

# Project Rules
## Code Style
- TypeScript strict mode always
- Functional components only (no classes)
- Named exports (no default exports)
- const over let, never var
- Error messages: user-friendly, never expose stack traces

## Architecture
- Feature-based folders: /features/[name]/{components,hooks,utils,types}
- All API calls through /lib/api client (never raw fetch)
- Environment variables through /lib/env.ts with validation

## Testing
- Every function gets a test file
- Minimum 3 cases: happy path, edge case, error case

## Git
- Conventional commits: feat:, fix:, docs:, refactor:, test:
- Branch naming: feature/[ticket]-[description]

Skills — Progressive Disclosure Specialists

Only loaded when your request matches the skill description. Keeps context lean while giving deep expertise when needed.

.agent/skills/my-skill/
├── SKILL.md          ← Main file (YAML frontmatter + markdown)
├── /references/      ← API specs, cheatsheets
├── /examples/        ← Gold-standard outputs
├── /scripts/         ← Validation scripts
└── /templates/       ← Boilerplate files

Five Skill Design Patterns

1. Basic Router: Instructions + requirements. Good for style guides.

2. Reference: SKILL.md + /references/ with API docs. For specific libraries.

3. Few-Shot: /examples/ with 3+ gold-standard outputs. For consistent formatting.

4. Tool Use: /scripts/ with validation the agent runs to verify output.

5. All-in-One: Everything combined. For complex domains like Shopify themes.

Workflows — User-Triggered Procedures

Type /workflow-name in chat. Multi-step procedures executed in sequence.

# /new-feature workflow
1. Ask user for feature name and description
2. Create Git branch: feature/[name]
3. Create directory: /features/[name]/{components,hooks,utils,types,__tests__}
4. Generate TypeScript types from description
5. Create base component with props interface
6. Create custom hook for business logic
7. Generate unit tests (happy + edge + error)
8. Create Storybook story
9. Update barrel exports
10. Run tests, report summary

Proof It Works — The $10.75M DDS Portfolio

Every system below was built using vibe coding. Total investment: under $1,000. Total value: $10.75M–$13.1M.

AGI Architecture Patterns — Production Blueprints

Five battle-tested patterns extracted from the DDS portfolio. Each is a real architecture you can implement today.

Pattern 1: Finite State Machine Pipeline

The backbone of Atelier OS and Synthetic Director. Every content piece flows through deterministic states with validation gates.

enum PipelineState {
  IDLE = 'IDLE',
  RESEARCHING = 'RESEARCHING',
  DRAFTING = 'DRAFTING',
  EDITING = 'EDITING',
  SEO_OPTIMIZING = 'SEO_OPTIMIZING',
  QA_REVIEW = 'QA_REVIEW',
  PUBLISHING = 'PUBLISHING',
  PUBLISHED = 'PUBLISHED',
  FAILED = 'FAILED'
}

interface StateTransition {
  from: PipelineState;
  to: PipelineState;
  guard: () => Promise<boolean>; // Must pass to transition
  action: () => Promise<void>;   // Execute on transition
  onFail: () => Promise<void>;   // Rollback handler
}

// Key insight: every state validates its output
// before allowing the next transition.
// Failed validation → rollback to previous state.

Pattern 2: Adversarial Self-Correction Loop

Used in AGI Nexus and Counsel AI. Generator creates, Critic evaluates, loop until quality threshold met.

const MAX_ITERATIONS = 5;
const QUALITY_THRESHOLD = 85;

async function selfCorrect(prompt: string) {
  let output = await generator.generate(prompt);
  for (let i = 0; i < MAX_ITERATIONS; i++) {
    const critique = await critic.evaluate(output);
    if (critique.score >= QUALITY_THRESHOLD) return output;
    output = await generator.revise(output, critique.feedback);
    logger.log({ iteration: i, score: critique.score });
  }
  return { output, status: 'max_iterations_reached' };
}
// Typical improvement: 40-60% quality gain over raw generation

Pattern 3: Multi-Agent Swarm

Specialized agents communicate via typed message bus. CEO orchestrator routes tasks based on capability matching.

interface Agent {
  id: string;
  role: 'builder' | 'reviewer' | 'tester' | 'security';
  capabilities: string[];
  process(task: Task): Promise<Result>;
}

class Orchestrator {
  private agents: Map<string, Agent>;
  private bus: EventBus;

  async dispatch(request: UserRequest) {
    const plan = await this.decompose(request);
    const results = await Promise.allSettled(
      plan.tasks.map(t => this.route(t))
    );
    return this.compile(results);
  }
}

Pattern 4: RAG Semantic Memory

Chunk documents → embed → store in vector DB → retrieve relevant context → augment prompts. Used in Atelier OS for trend awareness.

Pattern 5: Forensic Black Box Logging

Every agent decision logged as structured JSON: timestamp, agent ID, input hash, output hash, duration, error traces. Non-negotiable for production AI systems — you will need to debug agent behavior at 3 AM.

{
  "timestamp": "2026-03-01T14:22:31.445Z",
  "agentId": "content-writer-01",
  "state": "DRAFTING",
  "input": { "topic": "AI fashion trends", "wordTarget": 1500 },
  "output": { "wordCount": 1647, "qualityScore": 88 },
  "duration_ms": 4230,
  "tokens": { "input": 2100, "output": 3200 },
  "error": null
}

Browser Sub-Agent & Autonomous Testing

Antigravity's exclusive feature: agents that launch a browser, navigate your app, click buttons, fill forms, take screenshots, and verify UI — without you touching a mouse.

What the Browser Agent Can Do

Screenshot capture — verify layout matches design at any breakpoint. DOM interaction — click, type, scroll, hover to test user flows. Console monitoring — catch JavaScript errors during testing. Network observation — verify API calls are made correctly. Recordings — replay sessions showing exactly what the agent did.

Browser Agent Prompts

Open http://localhost:3000 in browser. Take screenshots at these widths:
- 375px (mobile)
- 768px (tablet)
- 1280px (desktop)
- 1920px (large desktop)

For each, verify:
1. No horizontal overflow
2. Navigation is accessible (hamburger on mobile)
3. Text is readable (no truncation or overlap)
4. Images are properly sized
5. Interactive elements are tappable (min 44x44px touch targets)

Report any issues with annotated screenshots.

Test the complete user journey in browser:

1. Navigate to homepage → verify hero loads, all images visible
2. Click "Sign Up" → fill registration form with test data → submit
3. Check for confirmation message or redirect to dashboard
4. Navigate to dashboard → verify data loads (no empty states with real data)
5. Create a new item → verify it appears in the list
6. Edit the item → verify changes persist
7. Delete the item → verify removal
8. Log out → verify redirect to login
9. Try accessing dashboard while logged out → verify 401 redirect

Take screenshots at each step. Report any errors or unexpected behavior.

Security & Best Practices

Terminal Execution Policies

"Request review" (recommended): Agent asks permission before every terminal command. Safe but slower.

"Always proceed": Agent executes immediately. Fast but requires a deny list for dangerous commands:

# Add to Antigravity settings → Terminal → Deny List
rm -rf /
rm -rf ~
sudo rm
sudo shutdown
sudo reboot
DROP DATABASE
DROP TABLE
curl | sh
wget | sh
chmod 777
ssh-keygen -f
git push --force origin main

Essential Security Rules

Never feed secrets into prompts. Use environment variables and .env files. The agent can read .env but should never echo values.

Browser URL Allowlist. Restrict which URLs the browser agent can navigate to — only localhost and your staging domain.

Git before everything. Initialize Git and commit before every agent session. You can always rollback.

Sandbox during preview. Run Antigravity projects in Docker or VM. The agent has terminal access — isolate it.

Review every diff. The Changes sidebar shows every modification. Read it like a code review before accepting.

Shopify Vibe Coding with Antigravity

Antigravity + Shopify = sections, pages, and entire themes built in hours instead of weeks.

Recommended Shopify Skills

.agent/skills/
├── shopify-liquid/     ← Liquid syntax, objects, filters, tags
├── shopify-seo/        ← JSON-LD schemas, meta tags, SEO Magnet System
├── shopify-a11y/       ← WCAG 2.1 AA compliance for Shopify
└── shopify-perf/       ← Core Web Vitals, lazy loading, critical CSS

Shopify Rules File

# Shopify Development Rules
1. All CSS scoped under unique class prefix per section
2. All IDs prefixed to avoid theme collisions
3. JavaScript in IIFE — zero global pollution
4. No jQuery dependency (vanilla JS only)
5. No !important on body, html, header, footer
6. Use Liquid variables  for all dynamic content
7. Implement lazy loading for all images below the fold
8. Include schema{} block with settings for every section
9. Test responsive at 375px, 768px, 1280px
10. Include print styles and prefers-reduced-motion support

Competitor Comparison — Choose Your Weapon

Resources & Next Steps

Official Documentation

Download: antigravity.google/download

Docs: antigravity.google/docs

Skills Guide: antigravity.google/docs/skills

Getting Started Codelab: codelabs.developers.google.com/getting-started-google-antigravity

What is Vibe Coding: cloud.google.com/discover/what-is-vibe-coding

Gemini 3.1 Pro: deepmind.google/models/gemini/pro

DDS Vibe Coding Academy

This masterclass is part of a free course series. Continue learning:

Vibe Code Masterclass 2026: Shopify + Claude 4.5 Opus (25+ prompts, 12 modules)

Shopify Sidekick Masterclass: 50+ prompts, 12 modules of Shopify AI mastery

Gemini Code Assistant Guide: 40+ prompts for Google's other coding tools

Zorin OS Master Class: Linux migration for developers

Connect & Follow

Stay updated with new guides, prompts, and DDS portfolio updates:

X/Twitter: @designdelight24 & @designdelight25

Threads: @designdelightstudio2024

Bluesky: designdelight24.bsky.social

Facebook: facebook.com/DDSBoston