Feature Flags — Progressive Rollout Engine
A production-grade, deterministic Feature Flag and Progressive Rollout Engine that decouples code deployment from feature release.
A production-grade, deterministic Feature Flag and Progressive Rollout Engine that decouples code deployment from feature release. It enables engineering and product teams to safely release new features gradually (10% → 25% → 50% → 100%), target specific cohorts (Internal staff, Premium, Beta), apply prioritized multi-tier targeting rules, simulate evaluations in real-time with explainable diagnostic traces, and trigger emergency global kill switches. Built with consistent 32-bit MurmurHash3 bucketing guaranteeing zero casino jitter and permanent user retention across percentage expansions.
- 1:1 pixel-accurate layout matching reference design with top navigation, collapsible left rail, and full telemetry suite
- Deterministic hash bucketing (hash(userId:flagKey) % 100) guaranteeing that page refreshes never randomly alter user access
- Monotonic progressive retention invariant: users admitted at lower percentages strictly retain access when rollout expands
- 5 pre-configured production flags (New Checkout, AI Assistant, Referral Program, Beta Dashboard, Smart Search)
- Dedicated Emergency Kill Switch immediately deactivating features and overriding all rules in <1ms
- Real-time Test User Access simulation studio with instant explainability breakdown and syntax-highlighted rule logic preview
- Rollout analytics dashboard featuring impressions bar chart, bucket distribution SVG donut chart, and cohort simulation
- Complete Supabase PostgreSQL schema with PL/pgSQL evaluation functions, audit logging, and RLS policies
Built with: Feature Flags Architecture, Deterministic Bucketing, Progressive Rollouts, Consistent Hashing (MurmurHash3 / FNV-1a), Multi-Tier Targeting Cascade, Emergency Kill Switch, Explainability & Diagnostic Tracer, Telemetry & Rollout Analytics, Supabase / PostgreSQL Schema, Vanilla JavaScript, HTML5 / CSS3, Google Fonts (Sora, Outfit, Chivo Mono)