Firebase

Building for the Apple ecosystem? You will soon be able to securely call cloud-hosted Gemini models directly from Apple’s Foundation Models framework 🔥 This integration, powered by Firebase AI Logic, will allow you to use both Apple’s Foundation Models and Gemini models via a shared API surface.

Understanding performance in Firestore Enterprise is crucial to building the optimal queries for your app. In this video, Morgan breaks down the math behind query performance, the critical balance between index and collection scans, and how to use the Query Explainer tool to your advantage.

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Quickly build reactive apps with Firebase SQL Connect and Postgres ⚡ Learn how to design your schema, generate queries, integrate realtime in-app features, and more → goo.gle/4ouKMTq

Tune in to #FirebaseAfterHours this week to learn more about accessing the Gemini API through Apple's Foundation Models framework using Firebase AI Logic → goo.gle/44cIrTM Come with questions! Peter and Nohe will be answering questions live on the stream with guests Ryan Wilson and Andrew Heard.

Build a full-stack Dart app with Cloud Functions for Firebase 🔥 In this codelab, you'll use Dart for both the Flutter frontend and the Firebase backend. and learn how to share data models between your app and your server. Try it → goo.gle/4ePJuzV

To help you build more advanced AI features and explore building in-app agents, we’ve released new APIs, framework and guidance: 🔥 Firebase AI Logic Hybrid Inference 🔥 A2UI Jetpack Compose Renderer 🔥 ADK for Android Read more about these updates ↓ goo.gle/43hmOl7

Eliminate context switching and accelerate development with Dart for Firebase Functions 🎯🔥 Learn how to build a complete serverless application, using full-stack @dart_lang across client and cloud environments → goo.gle/4gk6nfg

Are you still downloading thousands of documents from Firestore just to filter them manually? 😵‍💫 Move that heavy lifting to the server using Firestore Pipeline operations. 😃 Learn how to chain together complex filtering stages, ensuring your app only receives the final, structured result. Chapters: 0:21 - Demo 0:51 - What are Pipeline operations? 1:45 - Creating a Firestore Database 2:47 - Writing and reading data with Pipeline operations

⚡ Agent Skills now includes Crashlytics and Remote Config, making it easier to set up and use these products with agentic assistance. Crashlytics skills enable debugging assistance inside IDEs so you can resolve issues faster, without interrupting your coding or requiring you to switch to viewing the Crashlytics dashboard. Docs: goo.gle/42SvfDb

Location services for your app with Gemini and Firebase AI Logic 📍 Learn how to add Google Maps Grounding to Gemini queries to get better results. Chapters: 0:00 - Introduction 0:40 - Demo 1:25 - How to add Google Maps grounding

Come to the AiOS meetup today to learn how to use Gemini in Apple's Foundation Model framework via @Firebase AI Logic! Show me an app you've built with this new integration, and win some rare Firebase swag!

The @Firebase AI Logic Hybrid API provides a single, unified interface for splitting inference between cloud and on-device environments. Hybrid inference lets you easily route AI requests to the models running on-device and in the cloud, optimizing performance, cost, and availability → goo.gle/3PrmGw5

Excited to integrate Gemini models into your iOS app directly from Apple’s Foundation Models framework via Firebase? This video walks you through setup and integration, and three use cases in the Landmarks sample app → goo.gle/3PSzcF5 ➕ Grounding with Google Maps ➕ Landmark Detail with Search Grounding ➕ Visual Landmark Discovery

You can now securely call the Gemini API from your Swift app using Apple’s Foundation Models framework. Read the blog to see the shortest path from zero to a working Gemini call, and explore what you can build beyond text, including real-world grounding, multimodal input, and agentic tool calling → goo.gle/4443d81

You will be able to easily swap between local and cloud inference, giving you flexibility to enable optimal agentic app experiences for your use case. Learn more about this partnership announced at #WWDC26: goo.gle/4ulNzja

Building for the Apple ecosystem? You will soon be able to securely call cloud-hosted Gemini models directly from Apple’s Foundation Models framework 🔥 This integration, powered by Firebase AI Logic, will allow you to use both Apple’s Foundation Models and Gemini models via a shared API surface.

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Build a full-stack application with Kiro and Firebase → goo.gle/43Ra18U In this video, you'll learn how to build fast with Firebase Agent Skills in Kiro. We'll also cover best practices and live coding examples.

Bring agentic voice and video experiences to your apps with Firebase AI Logic ⚡️ Discover how to connect your frontend directly to the Gemini Live API and implement function calling via Firebase AI Logic, all while helping to keep your resources protected with App Check! Get the details → goo.gle/4emfivk

Live search is a great way to let users find things quickly in your app, and with new text search support in Firestore Enterprise and modern React APIs, it doesn’t take much code to implement. 🔍 Learn more about implementing search in a React web app → goo.gle/49t0Qiw