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SQL Query Optimizer - TODO

Phase 1: Project Setup & Database Schema

  • Project initialized with Next.js, TypeScript, TailwindCSS
  • Database schema: queries table (id, userId, originalSql, optimizedSql, performanceScore, antiPatterns, indexRecommendations, createdAt)
  • Database migration applied successfully
  • LLM integration setup and prompt engineering for SQL analysis
  • API route: POST /api/trpc/optimize for SQL optimization

Phase 2: SQL Optimization Engine

  • Anti-pattern detection logic (SELECT *, missing WHERE, unused JOINs, Cartesian joins, N+1, non-indexed filters, expensive ORDER BY/GROUP BY)
  • LLM-powered SQL analyzer with structured JSON output
  • Performance scoring algorithm (0-100 scale)
  • Index recommendation engine
  • Execution plan simulation (for unsupported databases)
  • API route: POST /api/trpc/queries/optimize
  • API route: GET /api/trpc/queries/history
  • API route: POST /api/trpc/queries/save
  • Vitest tests for optimization engine

Phase 3: SQL Editor & Results Panel UI

  • SQL editor component with syntax highlighting and dialect support
  • Results panel with 5 components: optimized query, diff view, performance score, improvement %, index recommendations
  • Performance score visualization (0-100 gauge/progress)
  • Anti-pattern explanation cards
  • Copy to clipboard functionality
  • Download results as JSON
  • Query history sidebar component

Phase 4: Landing Page & SEO

  • Hero section with CTA
  • Tool interface showcase section
  • Features section with key benefits
  • FAQ section with SEO-targeted keywords
  • Responsive design for mobile/tablet/desktop
  • Meta tags and Open Graph for SEO
  • Structured data (JSON-LD) for search engines
  • Examples section with real-world optimization scenarios
  • Blog-ready structure for future content

Phase 5: Dark/Light Mode & Query History

  • Query history sidebar/panel
  • Query history database queries
  • Examples section with working CTAs
  • Dark/light mode toggle implementation
  • Theme persistence in localStorage
  • Delete/clear query history
  • Restore previous optimization results

Phase 6: Testing & Deployment

  • End-to-end testing of optimization flow (22 unit tests passing)
  • Browser testing (dark/light mode, responsive)
  • LLM integration testing
  • Performance testing
  • SEO validation
  • Docker support (Dockerfile)
  • README with setup and deployment instructions
  • Create checkpoint

Future Enhancements

  • Query execution plan visualization
  • Database-specific optimization tips
  • Team collaboration features
  • API key management for external LLM providers
  • Query performance benchmarking