todo.md

TracePerf Implementation Todo List

📋 Project Setup

• Initialize npm package (npm init)
• Set up TypeScript configuration
• Configure ESLint and Prettier
• Set up Jest for testing
• Create GitHub repository
• Set up CI/CD pipeline (GitHub Actions)
• Configure Husky for pre-commit hooks
• Create initial README.md

🏗️ Core Architecture

• Design module structure
• Create logger class architecture
• Implement configuration management
• Design performance tracking system
• Create execution flow tracking architecture
• Design plugin system for extensibility

🔧 Basic Logging Implementation

• Implement info() method
• Implement warn() method
• Implement error() method
• Implement debug() method
• Add timestamp formatting
• Add log level filtering
• Implement color coding for different log types
• Add support for object logging with pretty-printing

📊 Execution Flow Tracking

• Implement function call tracking
• Create call stack management
• Design ASCII flow chart generation
• Implement execution time measurement
• Add function name extraction
• Create visual representation of call hierarchy
• Implement arrow and box drawing utilities

⏱️ Performance Monitoring

• Implement high-resolution timing with process.hrtime()
• Create bottleneck detection algorithm
• Add configurable performance thresholds
• Implement performance alerts
• Create memory usage tracking
• Add suggestion generation for bottlenecks
• Implement performance statistics collection

🔀 Conditional Logging Modes

• Implement mode switching (dev, staging, prod)
• Create environment detection
• Add automatic mode selection based on NODE_ENV
• Implement log filtering based on mode
• Add configuration options for custom modes
• Create mode-specific formatting

📚 Nested Logging

• Implement log grouping
• Create indentation management
• Add group start/end methods
• Implement automatic group closing
• Add nested group support
• Create visual hierarchy indicators

🧹 Production Optimization

• Implement debug log removal in production
• Add log level filtering based on environment
• Create minimal output mode for production
• Implement log sampling for high-volume environments
• Add performance optimizations for production use

📤 Output Formats

• Implement CLI output formatting
• Create JSON output option
• Add file logging capabilities
• Implement transport system for multiple outputs
• Create custom formatter API

🧪 Testing

• Write unit tests for core functionality
• Create integration tests
• Implement performance benchmarks
• Add test coverage reporting
• Create test fixtures and mocks

📖 Documentation

• Write API documentation
• Create usage examples
• Add installation instructions
• Create troubleshooting guide
• Write performance tuning guide
• Add JSDoc comments for all public APIs

🚀 Release Preparation

• Finalize package.json
• Create CHANGELOG.md
• Write CONTRIBUTING.md
• Add LICENSE file
• Create npm publishing workflow
• Prepare release notes
• Create demo projects/examples

📣 Marketing & Community

• Create project website/landing page
• Prepare blog posts for launch
• Create social media announcements
• Design logo and branding
• Prepare conference/meetup presentations
• Create video tutorials
• Set up community discussion channels

Next Release (v0.2.1)

Features

• Implement visual flamegraph for execution flow visualization
• Add support for custom metrics collection during function execution
• Create a web dashboard for real-time performance monitoring
• Add support for exporting performance data to Prometheus format
• Develop integration with popular APM services (e.g., New Relic, Datadog)
• Create adapters for popular frameworks (Express, Fastify, Next.js)

Improvements

• Further optimize the performance overhead of tracking in production mode
• Enhance memory tracking precision with detailed heap snapshots
• Improve accuracy of CPU usage tracking
• Add support for tracking I/O operations separately
• Improve browser performance monitoring capabilities
• Add more granular control over tracking modes

Documentation

• Create comprehensive API documentation
• Add more examples for different use cases
• Create performance optimization guides based on TracePerf data
• Add tutorials for integration with CI/CD pipelines

Long-term Roadmap

Features

• Distributed tracing support for microservices
• AI-powered performance optimization suggestions
• Historical performance data visualization
• Anomaly detection for unexpected performance changes
• Containerized monitoring agent
• Extended plugin system for custom integrations

Infrastructure

• Cloud service for team-based performance monitoring
• Self-hosted monitoring dashboard
• Integration with container orchestration platforms
• Support for serverless environments