See what was built.
Even when AI built it.
The workspace is the live system, not documentation that drifts. Everyone who has to trust the software can see exactly what’s running and why—not just the person who built it.
AI can generate twenty objects before launch.
The understanding layer is how your grasp of the system keeps up.
A live canvas of your
business logic.
What you see here is what executes: the logic, the data it touches, and the APIs it exposes, rendered directly from the running system.
Four readers, one system, no translation.
Software is a team sport now, and most of the team can't read a repository.
The engineer who inherits it
Reads the logic as it runs.
The architect who approves it
Sees the structure, dependencies, and APIs in enough detail to sign off.
The product owner
Reads the flow like a living spec: what the system does, in the order it does it.
The security team that answers for it
Dives from any point in the flow to the exact logic behind it (auth, data handling, permissions).
Seeing is half of it.
Evidence is the other half.
Every build carries its record: which tests passed, which policies held, what changed, and who or what changed it. When an agent makes a change, it’s attributable, timestamped.
Today: every object
carries its canvas.
Every object you build—each API, function, and scheduled task—carries its visual canvas.
Coming next: the
workflow view.
AI generates twenty objects; Xano shows you the jobs your application does as customer journeys, each step clickable down to the exact endpoints and tables behind it.
“Can't I just build this with Claude Code?”
You can. Bring Claude, Cursor, or any other agent. Build on Xano when more than one person needs visibility into the application and its business rules. Anyone can reach and understand exactly what's running.
Show the whole team what's running.
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