Changing data
Check types and compatibility. Trace missing fields, nulls and new enum values to affected components.
Vibe Coding API
Explore the applicationGive data
an interface.
Start with business intent. Build around real data structures. Create applications your team can understand, review and extend.
Bring generation into your productFrom data to applicationInteractive illustration · synthetic data
Your data and intent
Build a daily sales workspace from customer and order data.
customers
id: uuidcompany: stringowner_id: uuidstage: enumJoin relationship
orders.customer_idAccess boundary
owner_id = current_user.idStructure, relationships and permissions inform the same generation.
A·Customer workspaceApp preview
A clearer view of every opportunity.
Active opportunities24
Need follow-up8
New opportunities · six weeks
| Company | Owner | Stage |
|---|---|---|
| Sample · Lingshan | Lin | Discovery |
| Sample · Yuanchuan | Chen | Follow-up |
| Sample · Qinghe | Wang | Follow-up |
Owner confirmation for follow-up edits
Data bindingAccess rulesReviewable outputOrchestrate this workflow through the API in your own product.
From a data table to a way of working.
Data is the foundation.
The interface follows.
A good-looking screen is only the beginning. Enterprise applications need business entities, relationships and action boundaries. These become the context for generation.
Data structure
customers
id · owner_id · stageorders
id · customer_id · amountactivities
id · customer_id · created_atBusiness semantics
Entities · calculations · authorized actions
Application structure
Lists and detail views
Metrics and filters
Workflows and actions
Resolve relationships first
Keys and cardinality determine how views connect data. Ambiguous relationships need clarification.
Make constraints explicit
Types, business enums and required fields constrain forms, filters and presentation.
Carry access rules through
Role-aware interfaces sit above server-enforced data access. Hiding a button is not authorization.
From a request
to a reviewable change.
ID Axis coordinates the generation workflow. Intent, data contracts, interface plans and validation remain distinct, so the next change has a clear starting point.
- 01
Understand the task
Identify users, objectives and acceptance conditions. Turn an open-ended request into views, data and actions.
intent → scope - 02
Construct the plan
Align data structures with available components. Plan the view tree, service bindings and access boundaries.
schema → plan - 03
Generate and validate
Create code in a bounded workspace. Use type, contract and runtime checks to guide targeted corrections.
plan → artifact - 04
Enter the engineering workflow
Deliver code and change notes to your existing review and release process. Your team controls production access and deployment.
review → release
Code to own.
Boundaries to understand.
Make generated output part of your engineering workflow: readable, editable and testable, with more to deliver than a browser preview.
Delivery structure
Select a file to inspect the output.
Illustrative code, not a callable API.CustomerWorkspace.tsxIllustration
function CustomerWorkspace({ customers, viewer }) {
const rows = visibleTo(customers, viewer);
return (
<Workspace title="Customers">
<CustomerTable rows={rows} />
<FollowUpAction requiresApproval />
</Workspace>
);
}An interface your team can keep building.
Components, data bindings and actions remain separate. Generated output enters your existing project and evolves through review.
Move quickly.
Stay in control.
Enterprise applications are tested at their edges. Design and review those boundaries before generated code enters real operations.
Roles and tenants
Pass identity from the host application. Enforce policies on the server and verify visibility by tenant and role.
Writes and side effects
Separate reads from writes. Updates, messages and external calls need confirmation points, idempotency and audit records.
Failure and recovery
Expose understandable errors and preserve user input. Define retry scope and rollback behavior at the application level.
Let your systems
keep growing.
Software and platform teams
Make application generation a product capability.
Embed generation in a SaaS or industry platform, reusing its design system, identity layer and service APIs.
Data delivery teams
Give delivered data a working interface.
Build query workspaces, dashboards and operational views around governed datasets, connecting data assets with actual use.
Internal digital teams
Generate the repeatable parts of internal development.
Begin with departmental tools and low-risk read-only apps. Reuse components and review standards before expanding into complex workflows.
Build it into your product
Your platform.
Your way of working.
Our generation capability.
Vibe Coding integrates through APIs. Bring authorized schemas, component constraints and business objectives; together we define the workflow, output formats and validation boundaries.
InputIntent + data contract
Components · identity scope · acceptance criteria
Vibe Coding APIID Axis · generation and validation
OutputCode + contract + review plan
Into your repository and release workflow
Technical references
JSON SchemaObject structure, required fields and additional propertiesPostgreSQLServer-side row policies and role boundaries
References explain data contracts and access-control principles, rather than a particular implementation. This page describes capabilities and integration approaches; demos use synthetic data. Delivery scope is established during integration assessment.