Performance Optimization and Cleanup Initiative
π Current State Analysis
Technology Stack
- Monorepo Structure: pnpm workspace with 3 packages
- Backend: Express.js v5 with TypeScript (using Node.js experimental features)
- Frontend: Lit Web Components with Server-Side Rendering
- Testing: Playwright with BDD extension
- Build Tools: Rollup for lit-ssr-demo, native Node.js for main app
- Code Quality: ESLint v9 (flat config), Prettier, Knip
- Runtime: Node.js v22.17.1
Identified Issues
Based on analysis following e18e principles (cleanup, speedup, levelup), here are the key findings:
π§ Optimization Opportunities
1. Cleanup - Dependency Management
Priority: High | Impact: High | Complexity: Low
- Issue: Multiple TypeScript versions (5.7.2 in root/app, 5.5.4 in lit-ssr-demo)
- Issue: Outdated dependencies:
dotenv v17 (latest: v16.4.5)
debug v4.4.0 (latest: v4.3.7)
- Issue: Redundant devDependencies across packages
- Issue: Potential unused dependencies (needs Knip analysis)
Recommendations:
2. Speedup - Build Performance
Priority: High | Impact: High | Complexity: Medium
- Issue: No production build optimization for Express app
- Issue: Rollup configuration lacks minification/optimization plugins
- Issue: Docker build doesn't utilize layer caching effectively
- Issue: Missing source maps for production debugging
Recommendations:
3. Speedup - Runtime Performance
Priority: High | Impact: High | Complexity: Low
- Issue: No compression middleware in Express
- Issue: Missing caching headers for static assets
- Issue: No production-specific error handling
- Issue: Single-threaded execution (no clustering)
Recommendations:
4. Levelup - Modern Alternatives
Priority: Medium | Impact: Medium | Complexity: High
- Issue: Using experimental Node.js TypeScript features
- Issue: Traditional Express.js could be replaced with faster alternatives
- Issue: Bundle size could be reduced with modern tools
Recommendations:
5. Development Experience
Priority: Medium | Impact: Medium | Complexity: Low
- Issue: Complex npm script names
- Issue: Test artifacts accumulating in repository
- Issue: No hot module replacement for development
- Issue: Missing VSCode workspace configuration
Recommendations:
6. Testing & CI Optimization
Priority: Medium | Impact: Medium | Complexity: Medium
- Issue: E2E tests generate artifacts not properly gitignored
- Issue: Playwright traces consume significant disk space
- Issue: CI runs full browser suite for all changes
Recommendations:
π E18e Performance Rules and Guidelines
Source: https://e18e.dev/ (analyzed on 2025-01-19)
Update Schedule: This section should be reviewed and updated every 3 months
Core Principles from e18e:
-
Cleanup: Remove redundant dependencies and modernize tools
- Identify bloated, unmaintained, or outdated packages
- Use tools like npmgraph and pkg-size for analysis
- Replace oversized dependencies with lean alternatives
-
Speedup: Improve performance of critical components
- Focus on widely-used packages in the dependency tree
- Optimize build and runtime performance
- Contribute improvements upstream when possible
-
Levelup: Adopt modern, lighter alternatives
- Research alternatives at module-replacements repository
- Consider tinylibs and unjs ecosystems
- Test thoroughly before migration
Recommended Analysis Tools:
- npmgraph - Visualize dependency graphs
- pkg-size - Analyze package sizes
- rollup-plugin-visualizer - Bundle composition analysis
- Knip - Find unused dependencies and exports
Best Practices:
- Always analyze the full dependency tree, not just direct dependencies
- Consider the specific context before removing dependencies
- Collaborate with the community for greater impact
- Test alternatives extensively before adoption
π References
E18e Resources
Alternative Package Resources
Performance Analysis Tools
Performance Optimization Guides
This issue serves as a comprehensive guide for optimizing our application's performance following e18e principles. Each section can be converted into separate issues or PRs as we progress through the implementation.
Performance Optimization and Cleanup Initiative
π Current State Analysis
Technology Stack
Identified Issues
Based on analysis following e18e principles (cleanup, speedup, levelup), here are the key findings:
π§ Optimization Opportunities
1. Cleanup - Dependency Management
Priority: High | Impact: High | Complexity: Low
dotenvv17 (latest: v16.4.5)debugv4.4.0 (latest: v4.3.7)Recommendations:
2. Speedup - Build Performance
Priority: High | Impact: High | Complexity: Medium
Recommendations:
3. Speedup - Runtime Performance
Priority: High | Impact: High | Complexity: Low
Recommendations:
4. Levelup - Modern Alternatives
Priority: Medium | Impact: Medium | Complexity: High
Recommendations:
5. Development Experience
Priority: Medium | Impact: Medium | Complexity: Low
Recommendations:
6. Testing & CI Optimization
Priority: Medium | Impact: Medium | Complexity: Medium
Recommendations:
π E18e Performance Rules and Guidelines
Source: https://e18e.dev/ (analyzed on 2025-01-19)
Update Schedule: This section should be reviewed and updated every 3 months
Core Principles from e18e:
Cleanup: Remove redundant dependencies and modernize tools
Speedup: Improve performance of critical components
Levelup: Adopt modern, lighter alternatives
Recommended Analysis Tools:
Best Practices:
π References
E18e Resources
Alternative Package Resources
Performance Analysis Tools
Performance Optimization Guides
This issue serves as a comprehensive guide for optimizing our application's performance following e18e principles. Each section can be converted into separate issues or PRs as we progress through the implementation.