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johndoe6345789
d5e118a1cf
Migrated 14 reusable feature components to JSON architecture: Error Handling: - ErrorPanelHeader: header with action buttons and badges - ErrorPanelEmptyState: conditional empty state rendering PWA Settings: - PWAUpdateSection: update notification card - PWACacheSection: cache management settings Conflict Resolution: - ConflictResolutionStats: statistics cards grid Feature Components: - HowItWorksCard: instructional step cards - SearchResults: search results display with categories - SearchEmptyState: empty search state Comprehensive Demo: - ComprehensiveDemoHeader: gradient title header - ComprehensiveDemoStatsRow: task statistics cards Reusable Patterns: - ConfigCard: configuration input card - StatusCard: status indicator card - InfoSection: key-value information display - ListHeader: list header with count badge Changes: - Created 14 JSON definitions in src/components/json-definitions/ - Created 14 TypeScript interfaces in src/lib/json-ui/interfaces/ - Exported all components from json-components.ts - Updated json-components-registry.json (373 total, 223 JSON-compatible) - Updated json-ui-component-types.ts Features extracted from: - error-panel, pwa-settings, conflict-resolution, data-binding-designer - global-search, comprehensive-demo, project-settings Build status: PASS ✓ Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
✨ Welcome to Your Spark Template!
You've just launched your brand-new Spark Template Codespace — everything’s fired up and ready for you to explore, build, and create with Spark!
This template is your blank canvas. It comes with a minimal setup to help you get started quickly with Spark development.
🚀 What's Inside?
- A clean, minimal Spark environment
- Pre-configured for local development
- Ready to scale with your ideas
🧠 What Can You Do?
Right now, this is just a starting point — the perfect place to begin building and testing your Spark applications.
🧹 Just Exploring? No problem! If you were just checking things out and don’t need to keep this code:
- Simply delete your Spark.
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