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AETHER Success Metrics

This document defines the key performance indicators (KPIs) to measure the language's development progress.


📈 Key Performance Indicators

1. Technical Metrics

  • Test Coverage: Maintain automated test coverage above 90%.
  • JIT Compilation Speed: Target compilation speeds under 50ms for average project modules.
  • Runtime Simulation Performance: Minimize memory footprints of speculative timeline graphs under 2MB per timeline fork.
  • Diagnostics Accuracy: Target 100% span coverage for parser syntax errors.

2. Community Metrics

  • GitHub Engagement: Target 1,000+ stars and 50+ forks within the first 6 months.
  • Active Contributors: Reach 20+ external contributors submitting Pull Requests.
  • Issue Resolution Rate: Maintain average issue triage and response times under 24 hours.

3. Adoption Metrics

  • Package Registrations: Support 100+ community libraries registered on Aether index indexes.
  • Local Installs: Reach 5,000+ monthly unique installation downloads.
  • Run Times: BCI and Quantum simulators utilized across academic research papers.