React Native Lists - Treat Them as a Performance Subsystem, Not a Component

React Native lists frequently evolve into critical performance infrastructure as apps scale. Treating them as simple components and relying only on FlatList tuning quickly reaches its limits. By defining explicit systems for item measurement, viewport-based prefetching, deterministic placeholders, and strict cell composition rules, teams can achieve smoother scrolling, stable layouts, and predictable performance. Clear constraints and shared abstractions help prevent regressions and make list performance enforceable across an entire codebase.

When to choose Spring WebFlux vs. Spring MVC (+ Virtual Threads)

When building REST APIs with Spring, don’t default to WebFlux. Use Spring MVC with Java 21 Virtual Threads for most apps - especially those with JDBC/JPA or blocking SDKs—offering simplicity, great scalability, and easy debugging. Choose WebFlux only for high-concurrency, fully reactive stacks, or true streaming needs. Pick it deliberately when you have reactive drivers, backpressure requirements, and a team ready for Reactor.

Swift’s new Observation system - why you should switch (and how)

Apple’s new Swift Observation system replaces ObservableObject, @StateObject, and @Published with cleaner, property-level tracking using @Observable, @Bindable, and @ObservationIgnored. It reduces boilerplate, improves performance, works with structs and SwiftData, and enables finer-grained UI updates. Developers can simplify state management, create direct bindings, and migrate gradually for smoother, more efficient SwiftUI apps.

Local AI on Android - Do More On-Device with LiteRT & MediaPipe

Local AI on Android lets you run ML models with LiteRT or MediaPipe entirely on-device for image recognition, text classification, or AR. Modern hardware enables private, fast, offline features without server calls. Developers can bundle .tflite models, use Task APIs, and optimize with selective quantization (INT8, FP16) for speed and size. Using NNAPI/GPU delegates and memory-mapped models ensures low latency and smooth user experiences.

Compile-time styling to kill runtime cost (Tamagui & NativeWind extraction)

Compile-time styling in React Native, using NativeWind or Tamagui with extraction, removes runtime style object churn, cuts JS heap usage, and speeds up rendering. By enabling the extractor, styles become precomputed constants, improving memoization and reducing GC pressure. Developers should use static classnames, co-locate tokens and variants, and avoid dynamic string classes that block extraction for a faster, leaner app.