AI QA Test Case Generator for No-Code Apps

AI Prompts to Build This

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1. 1. Project Setup

   Create a Next.js 14 (App Router, TypeScript, Tailwind) project called "QAFlow" — an AI QA test-case generator for no-code apps (Bubble, FlutterFlow, Webflow, Adalo). Provision Supabase with these tables: apps (id, user_id, name, platform TEXT CHECK platform IN ('bubble','flutterflow','webflow','adalo','other'), created_at), flows (id, app_id, description TEXT, source TEXT CHECK source IN ('text','screenshot'), screenshot_urls JSONB), test_plans (id, app_id, flow_id, release_label TEXT, generated_at, model_used TEXT), test_items (id, test_plan_id, category TEXT CHECK category IN ('happy_path','edge_case','permission','empty_state','offline'), description TEXT, priority TEXT, checked BOOLEAN default false). Enable row-level security so users only see their own apps and plans. Set up Supabase Storage for screenshot uploads (max 10 per flow). Wire Stripe with three products: Free, Builder ($15/mo), Studio ($39/mo). Add env vars ANTHROPIC_API_KEY, OPENAI_API_KEY, STRIPE_SECRET_KEY.

2. 2. Flow Parser + Test Plan Generator

   Build POST /api/generate-plan as a Next.js Route Handler. Accept either a text flow description or an array of screenshot URLs, plus the app's platform (bubble/flutterflow/webflow/adalo).
   
   Step 1 — Parse: Send the input to Claude with vision enabled if screenshots are present. System prompt: "You are a QA analyst specializing in no-code apps. Given a user flow description or app screenshots, identify every distinct screen, the states each screen can be in (loading, empty, error, populated), every form field and its validation rules, and every permission or auth boundary crossed. Return strict JSON: { screens: [{ name, states: string[], fields: string[], permission_gates: string[] }], flows: [{ name, steps: string[] }] }."
   
   Step 2 — Generate: Pass the parsed structure to a second Claude call with this system prompt: "You are writing a QA test-case checklist for a solo no-code builder to run manually before shipping a release. For each screen and flow, generate specific, actionable test items grouped into four categories: happy_path (the core flow works as designed), edge_case (empty states, duplicate submissions, slow/offline network, expired sessions), permission (unauthorized access attempts, role boundaries), and empty_state (first-run, zero-data views). Each item must be something a non-technical builder can check by clicking through their own app in under 2 minutes. Return strict JSON matching the test_items schema: [{ category, description, priority: 'high'|'medium'|'low', expected_result }]."
   
   Persist the result to test_plans and test_items. If a previous test_plan exists for the same app, compute a simple diff (new items vs the prior release) and return it alongside the new plan.

3. 3. Checklist UI + Release Diff View

   Build the test-plan dashboard at /app/[appId]/plans/[planId].
   
   Layout: Group test_items by category (Happy Path, Edge Cases, Permissions, Empty States) in collapsible sections. Each item is a checkbox row with description, priority badge (high=red, medium=amber, low=gray), and an expected_result tooltip. Checking an item updates test_items.checked in Supabase in real time. A progress bar at the top shows "14 of 32 checked."
   
   Release diff view: when a test_plan has a prior version for the same app, render a "What's new since last release" panel above the checklist showing only test_items that don't have a matching description in the previous plan (fuzzy match on description similarity), tagged with a "NEW" badge.
   
   Export toolbar: three buttons — "Export CSV" (csv-stringify, one row per test_item), "Export PDF" (@react-pdf/renderer, branded cover page with app name and release label), "Copy as Notion table" (markdown table to clipboard). Add a "Mark release tested" button that snapshots the checked/unchecked state and locks the plan as read-only history.