Antigravity Manager View: How to Run Multiple AI Agents in Parallel (2025 Guide)
AI-assisted development has already changed how developers write code. But agentic development is changing something even bigger: how work itself is coordinated.
Google Antigravity’s Manager View is one of its most powerful—and least documented—features. While most AI tools focus on one AI helping one developer, Antigravity introduces something fundamentally new:
A manager-level interface for running multiple AI agents in parallel.
This guide is the first comprehensive tutorial explaining how Antigravity Manager View works, how to use it effectively, and why it represents the future of software development.
Antigravity Manager View is a coordination layer that allows you to:
Instead of one AI responding to one prompt, you act as a technical manager overseeing an AI-powered engineering team.
Most AI coding tools operate in a single-threaded model:
Antigravity Manager View introduces true parallelism.
| Tool | Parallel Agents | Central Coordination |
|---|---|---|
| GitHub Copilot | ❌ No | ❌ No |
| Cursor | Limited | ❌ No |
| Antigravity | ✅ Yes | ✅ Yes |
This is why there is no real competition for this feature.
Traditional workflow:
One developer → One IDE → One AI helper
Antigravity workflow:
One developer → One manager view → Multiple AI agents
You are no longer asking:
“Can AI help me write this?”
You are deciding:
“Which agent should handle this task?”
This is a mental model shift, not just a feature.
To use Manager View effectively, you must understand its building blocks.
Each agent has:
Examples:
Agents operate independently but cooperatively.
In Manager View, work is organized as:
You can assign:
Manager View allows:
This eliminates the classic “AI bottleneck.”
As the human:
You are managing, not micromanaging.
Parallel agents unlock three massive advantages:
Multiple parts of the system are built simultaneously.
Each agent focuses on its domain.
Coordination happens at a higher level, not through manual glue.
This mirrors how real engineering teams operate.
You:
You:
The difference is dramatic.
Let’s walk through a practical workflow.
Manager View is the control panel where all agents are visible.
You’ll see:
This is your command center.
Start with a system-level objective, not code.
Example: Build a full-stack web application with authentication, API backend, database, and frontend UI.
yaml Copy code
This becomes the parent mission.
In Manager View, break the mission into parallel tasks:
This decomposition is critical.
Assign:
Each agent now works independently.
All agents execute simultaneously.
While one agent designs APIs:
This is parallel coding with AI agents.
Manager View shows:
You are informed without being overwhelmed.
Sometimes agents overlap.
Example:
Manager View highlights conflicts so you can:
This keeps the system coherent.
Once tasks complete:
No manual glue code required.
Imagine building a SaaS product.
Parallel agent setup:
All agents run at the same time.
This is something no other AI tool can do today.
| Traditional PM | Antigravity Manager View |
|---|---|
| Humans do execution | AI does execution |
| Humans coordinate | Humans supervise |
| Long feedback loops | Near-instant |
| Manual handoffs | Automated integration |
You move from doing to directing.
Focus on goals and priorities, not implementation details.
Clear separation reduces conflicts.
Avoid over-constraining agents early.
Don’t interrupt constantly—review strategically.
This is not a chat window. It’s a coordination tool.
Parallelism only works if tasks are distributed.
AI agents are powerful—but oversight matters.
Cursor improves single-developer productivity.
Antigravity Manager View enables:
Cursor helps you code faster.
Antigravity helps you run engineering.
Copilot:
Manager View:
They are not competing products—they are different generations.
Manager View is ideal for:
You don’t need a large team—the agents are the team.
For real systems, it shines.
Antigravity Manager View hints at the future of software development:
This mirrors how real organizations scale.
Learning to manage AI agents will soon be as important as learning to code.
Antigravity Manager View is not just a feature—it’s a new operating model for development.
If you want to:
Then mastering Antigravity Manager View is essential in 2025.
For advanced Antigravity agent personas, manager workflows, and reusable mission templates, explore:
👉 https://antigravityai.directory