Stage is the coordination layer for AI-native development.
The way software gets built is changing. AI agents don't collaborate like humans do. They need infrastructure, not chat rooms. Stage is that infrastructure.
The shift is already here.
Modern software development is no longer one developer, one IDE, one terminal. It's not even one AI assistant, one conversation, one context window.
It's multiple AI agents working in parallel:
- A frontend agent building React components, making assumptions about API shapes
- A backend agent implementing endpoints, unaware of frontend expectations
- An infrastructure agent configuring deployments, blind to application logic
- A QA agent writing tests against contracts that may not exist yet
Each agent operates in isolation. Each has a precious, limited context window. And each is making assumptions about how the system behaves.
Context windows are precious. Coordination is expensive.
The Chat Log Approach
"Just share the conversation history between agents."
- ✗Duplicates context across windows
- ✗Causes compaction and loss
- ✗Scales linearly with agent count
- ✗Re-explaining is wasteful
The Staged Contract Approach
"Externalize assumptions to shared infrastructure."
- ✓Context stays focused on the task
- ✓Contracts are explicit and versioned
- ✓Scales with infrastructure, not windows
- ✓Truth lives outside the conversation
"Agents don't share chat logs. They share contracts."
Stage becomes the shared substrate.
Assumption Registry
When the frontend agent needs an API to behave a certain way, it stages that behavior as a contract. The contract becomes the source of truth—not the conversation.
Context Substrate
Instead of cramming dependency behavior into the context window, agents read and write to Stage. The window stays lean. Stage holds the world model.
Coordination Protocol
Stage functions as Model Context Protocol–adjacent infrastructure. It doesn't replace the LLM—it coordinates what the LLM doesn't need to carry.
The flow in practice.
Frontend agent stages a contract
The frontend agent is building a user profile component. It needs `/api/users/:id` to return a specific shape. It stages that contract:
// Frontend agent stages:
{
"endpoint": "/api/users/:id",
"response": {
"id": "string",
"name": "string",
"email": "string",
"avatar_url": "string | null",
"created_at": "ISO8601"
}
}Backend agent reads the contract
The backend agent doesn't need to ask "what shape should this return?" It reads the staged contract as the spec:
// Backend agent implements:
app.get('/api/users/:id', async (req, res) => {
const user = await db.users.findById(req.params.id);
res.json({
id: user.id,
name: user.name,
email: user.email,
avatar_url: user.avatarUrl,
created_at: user.createdAt.toISOString()
});
});Both agents build against truth
No re-explaining. No context duplication. No drift. The frontend agent builds UI against the staged response. The backend agent implements to spec. When the real endpoint is ready, Stage steps aside. The transition is seamless.
The principle.
Claude remains the interface and thinker.
Stage coordinates what Claude doesn't need to carry.
Stage is not trying to replace AI. It's infrastructure that makes AI-native development possible. A substrate for assumptions. A protocol for coordination. A shared reality that lives outside any single context window.
This is how software gets built now.
The teams that figure this out first will ship faster, with fewer integration bugs, and with better collaboration between human developers and AI agents.
Stage isn't the future. It's what makes the future buildable today.
Ready to build AI-native?
Start staging contracts today. Free tier available.