A/B Testing Articles
On-Device AI Remote Configuration and A/B Testing for Android
A production approach to lightweight remote config, deterministic on-device A/B experiments, and safe rollback for on-device AI inference.
Read Post
Evaluating and Optimizing On-Device AI on Android: From Offline Benchmarks to Production Experiments
A from-scratch evaluation system for on-device AI: offline benchmarks for initial filtering, production confidence-distribution monitoring, and A/B experiments to drive decisions — cutting iteration cycles from 3 weeks to 1.5.
Read Post
Android Feature Flags and Gradual Rollouts
A practical Android feature flag architecture covering remote config, local cache, hash buckets, staged rollout, kill switches, sticky enrollment, and Firebase tradeoffs.
Read Post
How to Design Experiments: AABB Testing Explained
AABB testing extends A/B testing by comparing two control variants and two experimental variants, helping teams evaluate design and product changes with stronger guardrails.
Read Post