Skip to main content

Build, launch, and keep improving

Dopebase Blog

Practical guides for building, customizing, launching, and growing software products.

App Intents for SwiftUI Apps: Siri, Shortcuts, Spotlight, and Action Button

· 6 min read
Full Stack Developer

Expose real product actions to the system instead of treating your app as an isolated screen stack.

SwiftUI App Intents architecture connecting app actions to Siri Shortcuts Spotlight and widgets

App Intents are becoming one of the most important integration points for iOS apps. They let your app expose actions and data to system features such as Siri, Shortcuts, Spotlight, widgets, and other surfaces that can help users act without opening the full app first.

For SwiftUI templates, this is a major opportunity. A template usually already has a predictable product loop: browse products, start a chat, save a listing, log a workout, check an order, or create a reminder. App Intents turn those loops into system-level capabilities.

This guide explains how to plan App Intents in a SwiftUI app template:

  • identify user actions worth exposing;
  • model app entities and queries;
  • decide which actions belong in Shortcuts or Siri;
  • connect intents to widgets and Spotlight;
  • test the integration before release.

Expo Router API Routes and EAS Hosting: A Backend for React Native Apps

· 5 min read
Full Stack Developer

Expo Router API routes give React Native teams a practical middle ground between "everything is client-side" and "we need a separate backend project before we can ship." With EAS Hosting, those routes can be deployed alongside an Expo Router web app and used for server-side work such as secrets, validation, webhooks, AI calls, and small backend endpoints.

Expo Router API routes and EAS Hosting backend architecture

Firebase AI Logic vs Genkit for Flutter: Which Architecture Should You Use?

· 6 min read
Full Stack Developer

Flutter teams now have two strong Google-backed paths for AI features:

  • Firebase AI Logic for direct AI calls from mobile and web apps;
  • Genkit for full-stack AI flows, tools, structured output, and agentic workflows.

The right choice is less about which one is "better" and more about where the AI decision should live: in the Flutter client, in a backend flow, or across both.

Decision map comparing Firebase AI Logic and Genkit for Flutter apps

Firebase AI Logic vs OpenAI Backend for React Native AI Apps

· 6 min read
Full Stack Developer

React Native teams now have two practical ways to add serious AI features to a mobile app:

  • call Gemini models through Firebase AI Logic from a Firebase-aware app;
  • keep AI orchestration on your own backend and call OpenAI from the server.

Both approaches can be correct. The wrong choice is usually the one that ignores secrets, user identity, App Store release cycles, cost controls, and how quickly your AI product will evolve.

Comparison of Firebase AI Logic and OpenAI backend architecture for React Native

Flutter App Store Privacy Checklist: Apple Privacy Manifests and Google Play Data Safety

· 5 min read
Full Stack Developer

Flutter apps are cross-platform, but privacy review is still native. Your pubspec.yaml dependencies can pull in iOS pods, Android libraries, analytics SDKs, crash reporters, payment SDKs, Firebase packages, and permission handlers that affect App Store and Google Play disclosures.

Flutter privacy release checklist for App Store and Google Play

Flutter Subscriptions: RevenueCat vs in_app_purchase vs Stripe

· 5 min read
Full Stack Developer

Subscription screens are easy to mock in Flutter. Real subscription systems are not. A production app needs store products, test accounts, purchase listeners, receipt validation, renewals, cancellations, refunds, restore purchases, customer support, and a reliable entitlement model.

Flutter subscription architecture with RevenueCat in app purchase and Stripe