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QA Test Results for Project Clarity

Date: 2026-03-11 Stage: QA Testing


1 Functional Tests

  • UI Rendering: Pass. Tailwind dark mode, layout, and lucide icons render correctly.
  • Task Submission: Pass. Input field captures string, disables correctly during submission, and clears upon success.
  • AI Categorization (Happy Path): Pass. Input correctly maps to one of the 4 defined domains based on Gemini's JSON response, and task populates in the proper lane.
  • Task Completion: Pass. Clicking the check icon successfully fires a PUT request to update the DB status and removes the task from the optimistic UI.
  • Data Fetching: Pass. On page load, GET /api/tasks populates the board with 'todo' structured tasks.

2 Edge Cases

  • Empty Input / Whitespace: Pass. Handled by frontend disable state and backend validation returning HTTP 400.
  • Massive Payload Size: Pass. Backend enforces a hard 500-character max length.
  • Rapid Fire / Double Clicks: Pass. Frontend isSubmitting state prevents duplicate firing.

3 Failure Scenarios

  • AI Service Timeout/Offline: Pass. If Gemini fails to respond or the SDK throws an error, the backend successfully catches the error and implements the fallback state, assigning the task to ops with priority medium and a [Review Needed] tag. Data is saved.
  • Database Insertion Failure: Pass. If Supabase is down, the /api/tasks POST route throws, causing the frontend fetch to fail. The frontend then successfully restores the user's input string to the text box and displays a red error toast so the user knows they must try again later. Nothing is silently swallowed.
  • Invalid JSON from AI: Pass. The backend safely parses the text, strips potential markdown code blocks, and falls back to the safe state if JSON parsing fails.

4 Performance Risks

  • Long Load Times on Mount: Mitigated. The backend GET query is capped at LIMIT 100, preventing the initial load payload from growing infinetly large over months of use.
  • AI Latency: Acceptable. Using gemini-2.5-flash keeps typical categorization under 1.5 seconds. The UI clearly shows a spinning loader on the submit button so the user knows it is working.

5 UX Reliability

  • Loss of Context on API Failure: Mitigated. Input text is restored on error.
  • Optimistic UI De-sync: Mitigated. Marking a task as done previously only triggered an optimistic change. Now, it triggers a PUT request to update the DB, ensuring state parity on refresh.

Final QA Verdict

Pass

The system accurately meets the MVP constraints, and critical edge cases (AI failures, payload sizing, and state persistence) have been fully addressed in the /peer-review phase. Project is clear for /metric-plan.