💡 What is “Agent-First”?

“Agent-First” is a new design philosophy in software development where AI Agents are not just
support tools but the center of the workflow. Instead of writing code line by line, you orchestrate
multiple AI Agents working in parallel to complete complex tasks.

Figure 1: Main interface of Google Antigravity

Figure 2: Dual Interface – Editor View (left) and Manager View (right)

🎉 Main Benefits

• ⚡ 50-70% Faster: Significantly reduce development time
• 💰 Cost-effective: No complex infrastructure needed
• 🔧 Easy maintenance: Google handles updates and scaling
• ✅ Reliable: Artifacts help verify results easily

💡 Conclusion

Google Antigravity excels over Cursor IDE in multi-agent management,
multi-model support, browser integration, and artifacts generation. While Cursor remains a good choice
for code completion, Antigravity opens a new era with comprehensive automation from planning to testing.

Figure 3: Visual comparison between Google Antigravity and Cursor IDE

🔗 Important Links:

• Homepage:
  https://antigravity.google/
• MCP Documentation:
  https://antigravity.google/docs/mcp

# Open AI Agent sidebar
Ctrl + Shift + A# Chat with AI
Type questions or requests in natural language# Select AI model
Gemini 3 Pro, Claude Sonnet 4.5, or GPT-OSS

Figure 4: Editor View with AI Agent sidebar in action

Figure 5: Manager View – Dashboard managing multiple AI Agents

Figure 6: Artifacts Panel with task breakdown and verification

Full-stack Development

Scenario: Develop web applications with frontend and backend

Solution:

• Agent 1 handles React frontend
• Agent 2 builds Node.js backend
• Agent 3 writes automated tests
• All work in parallel, reducing time by 50-70%

React Native / Flutter Development

Scenario: Build cross-platform mobile apps

Solution:

• Automatically create UI components
• UI testing with browser integration
• Automatic performance optimization
• Generate screenshots for both iOS and Android

Model Training & Deployment

Scenario: Deploy ML models to production

Solution:

• Agents handle data preprocessing
• Parallel training across multiple models
• Automatically evaluate and compare results
• Deploy models with automated CI/CD

Distributed Systems Development

Scenario: Build complex microservices systems

Solution:

• Each Agent handles one service
• Automated integration testing between services
• Monitor and debug distributed systems
• Automatically generate API documentation

🚀 Significantly Accelerate Development

The ability to manage multiple AI Agents helps process tasks in parallel, reducing development time by 50-70%.
This is a breakthrough compared to traditional IDEs.

🎯 Comprehensive Testing Automation

Browser integration enables easy automation of UI testing and E2E testing.
Minimize production errors and increase application reliability.

🧠 Flexible with Multi-Model AI

Choose the right model for each task: Gemini for code generation, Claude for documentation,
GPT for creative tasks. Optimize both performance and cost.

✅ Transparent with Artifacts

Artifacts help verify AI work easily. Increase trust and control during the development process.

Google Antigravity is truly a quantum leap in AI-powered software development.
The ability to manage multiple Agents, browser integration, and multi-model AI support make it
the ideal tool for complex projects requiring high speed.

I am particularly impressed with Manager View – a feature that no other IDE has.
The ability to coordinate multiple Agents working in parallel across different workspaces helps optimize
workflow and multiply productivity many times over.