The landscape of mobile development is shifting beneath our feet. For years, "Smart Apps" were simply thin clients for powerful cloud APIs. If you wanted to understand the sentiment of a sentence or find similar documents, you packaged a JSON request, sent it to a server, and waited for a response. But the era of the "Cloud-First" mandate is being challenged by a new priority: Privacy-Centric, Low
Originally published on rohitraj.tech UPI fraud hit ₹805 cr in India last year. Cloud APIs leak data. So I built ScamRakshak — fully on-device scam detection. 3-tier inference engine: Gemma 4 LLM — context-aware classification LiteRT — fast pattern model Regex fallback — when battery low Full architecture write-up: https://rohitraj.tech/en/notes/build-on-device-ai-scam-detector-android-gemma Read
User types "android" into your search box. That's 7 API calls if you wired it the way I did the first time. A few months later I shipped a pagination bug where every infinite-scroll fetch flashed a full-screen loader for half a second. And then there was the Settings screen that needed to refresh the Dashboard when the user changed theme — but Settings couldn't import Dashboard without a circular
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Book: Kotlin and Java to TypeScript Also by me: The TypeScript Library — the 5-book collection My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel.com | GitHub You joined a Node service. The first ticket says: make paymentService.charge resilient: circuit breaker, retry on 5xx, rate limit per merchant. On the JVM the an