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6 posts tagged with "Firebase"

Firebase related posts and tutorials.

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

· 6 min read
Full Stack Developer
Last updated on June 22, 2026

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

Passkeys in Flutter: Passwordless Login for iOS and Android

· 6 min read
Full Stack Developer
Last updated on June 22, 2026

Passkeys are one of the most important authentication upgrades Flutter teams can make. They reduce password reset friction, remove reusable password risk, and use the platform sign-in experience users already trust.

In Flutter, the hard part is not drawing the button. The hard part is choosing a safe architecture across Dart code, iOS AuthenticationServices, Android Credential Manager, domain association files, and backend WebAuthn verification.

Flutter passkey login flow across iOS Android and backend verification

Flutter AI Apps Need Remote Config, App Check, and a Fallback Plan

· 8 min read
Full Stack Developer
Last updated on March 25, 2026

Adding AI to a Flutter app is easier than it was a year ago. Firebase AI Logic now gives Flutter teams a Dart SDK for mobile AI features, direct access to Gemini and Imagen models, and built-in integrations with other Firebase services.

That makes demos faster. It does not make production risk disappear.

Production-ready Flutter AI app architecture with App Check, Remote Config, and backend fallback

The Complete Guide to Building Production-Ready Flutter Apps

· 13 min read
Full Stack Developer
Last updated on February 14, 2026

Flutter makes cross-platform shipping faster, but speed alone does not make an app production-ready. Many apps launch quickly and still fail under real usage because the architecture is brittle, the backend strategy is vague, and release quality is inconsistent.

This guide is for developers and technical founders who want a practical, scalable path from prototype to maintainable production app.

You will learn:

  • How to evaluate flutter app templates strategically
  • How to pick between starter kits, full templates, and UI kits
  • How to build scalable Flutter architecture
  • How to connect Firebase without creating operational debt
  • How to release and debug with production discipline

If you are mapping options first, start with the main template catalog at /templates/ and then use this guide to choose the right baseline.