Task Table & Domain Presentation Present operational data with semantic, responsive and scannable UI
Phase 20 - Production Application UI Volume 06 - Professional Frontend
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Phase 20 turns the secure full-stack foundation into a coherent, accessible application interface without moving business authority into the browser.
A data table should be a table when the data is tabular Tasks are naturally compared across columns: status, priority, assignee, due date. A semantic HTML table provides relationships that div-based card grids must recreate manually for assistive technology.
<table>
<caption>Tasks visible in your current workspace scope</caption>
<thead>
<tr>
<th scope="col">Task</th>
<th scope="col">Status</th>
<th scope="col">Priority</th>
<th scope="col">Assignee</th>
<th scope="col">Due</th>
</tr>
</thead>
<tbody>...</tbody>
</table>Responsive strategy for real tables Do not collapse important business data into unreadable 320px cells. Keep a minimum table width and place it inside a labeled horizontal-scroll region. For mobile-first task workflows, a later alternate card/list view can be added intentionally rather than by CSS accident.
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Horizontal scroll is acceptable when the content is genuinely tabular and the region is discoverable and keyboard reachable.
Status and priority communicate with text + color A green pill labeled “Done” is better than a green dot with no accessible text. Color reinforces meaning but never carries it alone.
Keep the task title as a clear link and keep future row actions as real buttons. This preserves keyboard semantics and avoids nested interactive controls.
Task Table and Domain Presentation matters because it changes a real boundary in TaskFlow. The goal is to understand the inputs, owner, observable output, and failure modes before adding more abstraction.
Restate the goal of “Task Table and Domain Presentation” as one observable behavior. Write the success signal before touching code.
Trace the boundary map: route data → UI state → component tree → interaction → accessible feedback. Mark the one boundary this lesson changes.
Inspect the current repository state and record the exact files, route, table, or runtime involved. Avoid creating an abstraction before you can name the existing owner.
Implement the smallest vertical slice. Add one coherent change, run the narrowest verification command, and read the output before continuing.
Connect the slice to TaskFlow’s phase artifact: TaskFlow responsive shell with navigation, workspace context, task screens, loading/empty/error states, and accessible interactions.. Verify behavior from the outside as a user or API client would.
Create one controlled failure that is safe to reproduce. Predict the symptom first, capture evidence, locate the earliest broken boundary, then fix only that cause.
Close the reference and rebuild or explain the core change from memory. Record what you would monitor or test before trusting the same change in production.
if (query.isPending) return <TaskSkeleton />;
if (query.isError) return <TaskError retry={query.refetch} />;
if (!query.data.length) return <EmptyTasks />;
return <TaskTable tasks={query.data} />;Do not copy this as a finished answer. Predict what each boundary does, type the smallest useful slice, run it, then compare the result with your prediction.
Return to the nearest observable boundary: input, network, process log, database, or rendered UI. Compare actual evidence with the predicted path.
Change one variable at a time and reproduce the original failure after the fix; otherwise you have correlation, not diagnosis.
Without copying the final source, create a second small scenario that applies “Task Table and Domain Presentation” to a different TaskFlow resource or input. Write the acceptance criteria first, implement it, and provide the evidence that each criterion is satisfied.
Compose Server and Client Components so interactive islands remain small.
Use the smallest change that demonstrates this lesson. Stop after it works and capture evidence.Mobile layout treated as desktop squeezed smaller
Predict the symptom before causing the failure. Then locate the earliest boundary where reality diverges from expectation.Why does this responsibility live here, what input does it trust, what output proves success, and what would go wrong if another layer owned it?
If your explanation is vague, repeat the boundary trace before moving on.Close the reference. Reproduce the core idea from memory or explain the exact request/data flow aloud. Then check your diff or notes for accidental shortcuts that bypass validation, authorization, error handling, or verification earned in earlier phases.