How do you build an AI portal one complete feature at a time?
Implement narrow user flows that connect the interface, backend, and persisted data.
How do you build an AI portal one complete feature at a time?
A complete feature demonstrates behavior across the parts that users rely on. Building every screen with static data first can delay discovery of integration problems.
Choose a small vertical slice
Start with creating a project and seeing it in a saved list. Implement validation, the API request, persistence, and the resulting UI state together. Add generation only after the project identity and ownership flow work. Use fixtures for deliberately deferred dependencies, not as a substitute for completed integration.
Verify before expanding
Reload the page and confirm the record comes from storage. Try invalid input and a failed request. Review the change for unrelated edits and document any assumptions. Give the next AI development task the verified behavior and a specific next outcome. This builds a sequence of dependable increments rather than a large collection of generated components with uncertain connections.
Its interface, server behavior, persistence, and relevant failure handling work together for the intended user task.
It reveals whether the UI is displaying persisted state or only temporary local data.
After the current increment meets its acceptance checks or its remaining limitation is explicitly understood.
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