01 · Design
The architecture, captured as typed truth.
Available today — the canvas and the control plane.
The AI-driven development lifecycle
Run engineering as a governed AI workforce.
Stackplane makes your architecture the control surface for the AI development lifecycle. Agents build against a system you designed — and every unit of their work is scoped, reviewed, and attributed. The governance and accounting a real org needs, not another copilot.
Why now
Writing code got cheap. Governing agents didn't.
AI made writing code cheap. Governing what agents do is now the hard part.
Autonomous agents produce work no one can see, trust, price, or review at the system level.
The teams that win give agents a source of truth and account for every change.
How it works
A source of truth, a workforce, and the accounting.
Three things make an AI development lifecycle you can actually run: a system agents can reason about, a governed team to do the work, and a record of everything they did.
Source of truth
Your architecture is the control surface.
Stackplane captures your system as typed engineering decisions — runtime, protocol, scaling, data durability, delivery semantics — not a drawing. Agents build against that, not a blank prompt.
A machine-readable model of the system, not a diagram.
The workforce
Agents are accountable members, not a copilot.
Capability-scoped agents are assigned to roles beside your engineers, governed by the workspace. You don't manage prompts — you staff and direct a team that works against the architecture.
One agent per role, paired to a human who stays responsible.
The accounting
Every unit of work is metered and attributed.
Each agent run is recorded with model, tokens, changes, and approvals. Engineering output becomes a governed, priced line item — output you can budget, decoupled from headcount.
Model, tokens, and changes on every run — auditable by design.
The lifecycle
From architecture to shipped software — governed end to end.
The AI-driven development lifecycle runs on one plane: design the system, hand parts to the workforce, review the work, and ship. Design and a governed workforce are here today; the delivery loop is being built out on top of them.
02 · Build & review
The workforce implements; humans approve.
Governed agents and attribution, with the supervised build loop expanding.
03 · Ship
Reviewed change, out to production.
On the roadmap — closing the loop from architecture to delivery.
Every stage governed: scoped access, human approval, and an attributable record of each change.
Give your agents a system to work against