A Gemini stream drops halfway — restart it, or have the model continue?
Most apps silently restart a dropped stream. Here is the arithmetic behind continuing from the partial output instead, and where to put the threshold.
Spend Deep Reasoning Only Where It's Needed: Per-Request thinking_level Routing in Gemini
Running every request at high thinking_level bloats latency and cost; forcing low drops accuracy on hard questions. This walks through a router that picks Gemini 3.x thinking_level per request from an inexpensive difficulty estimate, keeping p95 latency inside a mobile budget while reserving deep reasoning for the questions that need it — with measured numbers and working code.
Integrating Gemini 3.2 Pro Function Calling into iOS/Android Apps: Production Design Patterns
A practical guide to integrating Gemini 3.2 Pro Function Calling into iOS and Android apps. Includes working SwiftUI, Kotlin, and Python code, plus production patterns proven in a real indie wallpaper app — cost, latency, staged rollout, and regression testing.
Never Embed Your Gemini API Key in a Mobile App: Complete Multi-Layer Security Architecture with Firebase App Check
A production-grade guide to securing Gemini API access in mobile apps. Covers Firebase App Check, Cloud Functions proxy, rate limiting, and anomaly detection — with complete iOS and Android code examples.
Gemini API × Kotlin Multiplatform: to Shared AI Logic for iOS and Android
A complete guide to integrating Gemini API with Kotlin Multiplatform (KMP) for shared AI logic across iOS and Android. Covers Gradle setup, Ktor HTTP client, SwiftUI/Compose UI, secure API key management, multimodal image analysis, and production deployment.
Gemini API × SwiftUI in Production: Streaming, Multimodal, Error Handling, and App Store Submission
A production-grade guide to integrating the Gemini API into SwiftUI apps at production quality. Covers streaming responses, multimodal input, error handling, test strategies, and App Store submission requirements.