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svgop Improvement Plan

svgop is a valuable tool that provides standalone SVG optimization without requiring Node.js. However, the project has accumulated technical debt and needs modernization. This plan outlines a comprehensive approach to improve stability, elegance, and deployability while maintaining the core value proposition of a small, efficient binary.

May 2, 2026
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svgop Improvement Plan

Executive Summary

svgop is a valuable tool that provides standalone SVG optimization without requiring Node.js. However, the project has accumulated technical debt and needs modernization. This plan outlines a comprehensive approach to improve stability, elegance, and deployability while maintaining the core value proposition of a small, efficient binary.

1. Dependency Modernization

1.1 Update svgo Library

The current svgo version (1.3.2) is severely outdated. The latest version (3.x) includes significant improvements:

Strategy:

  1. Audit breaking changes between svgo 1.3.2 and 3.x
  2. Update the patch/config.js approach to work with new svgo architecture
  3. Consider using svgo's new plugin system instead of patching config.js
  4. Test thoroughly to ensure optimization results remain consistent

Challenges:

  • svgo 3.x has a completely different configuration system
  • Plugin API has changed significantly
  • May require rewriting the wrapper logic

1.2 Update Build Dependencies

webpack 4 → webpack 5:

  • Better tree shaking for smaller bundles
  • Native support for ES modules
  • Improved build performance

Other dependencies:

  • Update get-stdin to latest version
  • Update all dev dependencies for security patches

2. Build System Improvements

2.1 Fix Docker Build Issues

The Docker build is currently broken. We need to:

  1. Debug the build-with-docker.sh script

    • Identify why builds are failing
    • Update Docker base images to newer versions
    • Ensure all build dependencies are properly installed
  2. Modernize Docker setup

    • Use multi-stage builds for smaller images
    • Add GitHub Actions for automated Docker builds
    • Create separate Dockerfiles for different targets

2.2 Expand QuickJS Platform Support

Currently only macOS QuickJS builds are provided. We should:

  1. Create Linux QuickJS builds

    • Set up cross-compilation or native Linux build environment
    • Test on major distributions (Ubuntu, Debian, Alpine)
    • Provide both x64 and ARM64 builds
  2. Create Windows QuickJS builds

    • Set up MinGW or MSVC build environment
    • Handle Windows-specific path and I/O issues
    • Test on Windows 10/11
  3. Automate QuickJS builds

    • Use GitHub Actions for all platforms
    • Create build matrix for different OS/arch combinations
    • Automate binary signing for macOS/Windows

2.3 Improve Build Architecture

  1. Eliminate manual patching

    • Create a proper abstraction layer instead of patching svgo files
    • Use dependency injection or configuration overrides
    • Make the build process more maintainable
  2. Modularize build scripts

    • Split Makefile into platform-specific components
    • Create shared build utilities
    • Add proper error handling and logging

3. Feature Enhancements

3.1 Add Command-Line Options

The current tool has no CLI options. We should add:

  1. Basic options:

    • --help / -h: Show usage information
    • --version / -v: Show version
    • --output / -o: Specify output file (alternative to stdout)
    • --input / -i: Specify input file (alternative to stdin)
  2. svgo configuration:

    • --config: Load custom svgo config file
    • --preset: Choose optimization presets (default, aggressive, safe)
    • --pretty: Pretty-print output
    • --multipass: Enable multipass optimization
  3. Plugin control:

    • --enable-plugin: Enable specific plugins
    • --disable-plugin: Disable specific plugins
    • --list-plugins: Show available plugins

3.2 Improve Error Handling

  1. Better error messages

    • Validate input is valid SVG
    • Show line numbers for parsing errors
    • Provide helpful suggestions for common issues
  2. Exit codes

    • Use standard Unix exit codes
    • Different codes for different error types
    • Document exit codes in help

4. Code Architecture Improvements

4.1 Refactor Entry Points

Current multiple entry points (svgop-qjs.js, svgop-pkg.js, etc.) have duplicated code.

  1. Create shared core module

    • Extract common functionality
    • Use adapter pattern for platform differences
    • Reduce code duplication
  2. Improve modularity

    • Separate concerns (I/O, optimization, error handling)
    • Create testable units
    • Use dependency injection

4.2 Add TypeScript Support

  1. Benefits:

    • Better IDE support
    • Catch errors at compile time
    • Self-documenting code
  2. Implementation:

    • Start with type definitions
    • Gradually convert modules
    • Ensure builds still work with QuickJS

5. Testing and Quality Assurance

5.1 Comprehensive Test Suite

  1. Unit tests

    • Test each module independently
    • Mock dependencies
    • Achieve >80% code coverage
  2. Integration tests

    • Test full optimization pipeline
    • Compare with reference outputs
    • Test error conditions
  3. Performance tests

    • Benchmark optimization speed
    • Track binary size over time
    • Memory usage profiling

5.2 Continuous Integration

  1. GitHub Actions workflows

    • Run tests on every PR
    • Build binaries for all platforms
    • Automated releases
  2. Quality gates

    • Linting (ESLint)
    • Code formatting (Prettier)
    • Security scanning (npm audit)

6. Documentation Improvements

6.1 User Documentation

  1. Comprehensive README

    • Clear installation instructions for all platforms
    • More usage examples
    • Troubleshooting section
  2. Man page

    • Create proper Unix man page
    • Include in binary distributions
    • Generate from source

6.2 Developer Documentation

  1. Architecture documentation

    • System design diagrams
    • Build process explanation
    • Contributing guidelines
  2. API documentation

    • JSDoc comments
    • Generated API docs
    • Examples for extending

7. Distribution and Deployment

7.1 Package Manager Integration

  1. Homebrew (macOS)

    • Create formula
    • Submit to homebrew-core
    • Automate updates
  2. Scoop (Windows)

    • Create manifest
    • Submit to scoop-extras
    • Automate updates
  3. Linux packages

    • Create .deb packages
    • Create .rpm packages
    • Submit to AUR (Arch)

7.2 Improved Release Process

  1. Semantic versioning

    • Follow semver strictly
    • Automated changelog generation
    • Git tags for all releases
  2. Release artifacts

    • Checksums for all binaries
    • GPG signatures
    • Release notes

8. Performance Optimizations

8.1 Binary Size Reduction

  1. Code optimization

    • Remove unused code paths
    • Optimize webpack configuration
    • Use newer compression algorithms
  2. Build optimization

    • Experiment with different QuickJS flags
    • Profile binary contents
    • Strip unnecessary symbols

8.2 Runtime Performance

  1. Optimization strategies
    • Stream processing for large files
    • Parallel processing where possible
    • Memory usage optimization

Implementation Timeline

Phase 1: Foundation (Weeks 1-2)

  • Fix Docker builds
  • Update critical dependencies
  • Set up CI/CD pipeline

Phase 2: Core Updates (Weeks 3-4)

  • Update svgo to latest version
  • Refactor build system
  • Add basic CLI options

Phase 3: Platform Expansion (Weeks 5-6)

  • Add Linux QuickJS builds
  • Add Windows QuickJS builds
  • Automate all builds

Phase 4: Features and Polish (Weeks 7-8)

  • Implement advanced CLI options
  • Add comprehensive testing
  • Update documentation

Phase 5: Distribution (Weeks 9-10)

  • Package manager integration
  • Release automation
  • Community outreach

Success Metrics

  1. Technical metrics:

    • Binary size ≤ 3MB for QuickJS builds
    • Build success rate = 100% on all platforms
    • Test coverage ≥ 80%
  2. User metrics:

    • Installation success rate ≥ 95%
    • Issue resolution time < 1 week
    • Active contributors ≥ 5
  3. Performance metrics:

    • Optimization speed within 10% of native svgo
    • Memory usage < 100MB for typical files
    • Startup time < 100ms

Risk Mitigation

  1. svgo update complexity:

    • Create compatibility layer
    • Maintain legacy branch
    • Gradual migration path
  2. Platform-specific issues:

    • Extensive testing matrix
    • Beta testing program
    • Rollback procedures
  3. Backwards compatibility:

    • Version output format
    • Support legacy workflows
    • Clear migration guides

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