Google Antigravity is "Async." Dropstone is "Multiplayer." (Why Teams Need Real-Time AI)

The last two weeks have been insane for AI coding.

1. Google Antigravity launched with its "Agent-First" IDE.
2. Anthropic released Claude 4.6 Opus with a massive context window.

Everyone is rushing to build "Agents" that do the work for you. The industry is drifting toward a "Manager View" - where you assign a ticket to an AI, it works in the background, and you wait for a Pull Request.

I believe this is a mistake. Software engineering is collaborative, not transactional.

That's why I built Dropstone: the first Real-Time Multiplayer IDE where multiple developers and multiple AI agents work in the same workspace, on the same context, at the same time.

The "Async" Trap (Google Antigravity)

Antigravity treats AI like a contractor.

• The Workflow: You assign a task ("Fix the auth bug"). The agent goes away. It works in an isolated context. It comes back 5 minutes later with a diff.
• The Problem: It's Async. If you and your teammate are working on that same file, the agent doesn't know. You end up in "Merge Hell" with your own AI.

The "Sync" Solution (Dropstone)

Dropstone treats AI like a teammate sitting next to you.

Imagine this scenario:

1. You (Human A) are editing auth.ts to add a new provider.
2. Your Co-founder (Human B) joins the same session via a Share Link. You see their cursor.
3. Agent A (assigned to you) starts refactoring the interface you just wrote.
4. Agent B (assigned to your co-founder) starts writing the unit tests for that interface at the same time.

Everyone is in the same context.
There is no "merging" because we use CRDTs (Conflict-Free Replicated Data Types) to sync the state of humans and agents instantly.

• If Agent A makes a change, Agent B sees it immediately and adjusts the test case.
• If Human B deletes a line, Agent A stops writing code for that line instantly.

Why This Was Hard to Build (The Tech Stack)

You can't build this by wrapping the OpenAI API. We had to build a custom runtime.

1. Shared Workspace Memory: Most tools have "Chat History." We have a synchronized Project Brain. If Agent A learns that "We use Zod for validation," Agent B instantly knows it too.
2. The D3 Engine: We virtualize the context so that 4 users and 4 agents doesn't explode the token count. We compress the state logic (50:1 ratio) so the "Multiplayer" feel is lag-free.
3. Local-First Privacy: Even with all this syncing, the core logic runs on your machine. You can plug in Ollama and have a multiplayer session entirely on your local network.

See "True Multiplayer" in Action

Here is a demo. Notice that it's not just one person supervising a bot. It is a shared workspace where the state is live for everyone.

Why This Matters

If you want to treat AI like a ticket-taker, use Antigravity. It's great for async tasks.

But if you want to build software together - where you, your team, and your AI agents are all jamming on the same problem in real-time Dropstone is the only tool that does it.

Download Dropstone: https://www.dropstone.io/downloads
Read the Research: https://www.blankline.org/research

Let me know in the comments: Do you prefer "Async Tickets" or "Real-Time Collaboration"? 👇