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Are you still relying on SMS OTPs to verify user phone numbers? Nohe explains how to use Firebase Phone Number Verification (PNV) to securely verify user numbers directly through mobile carriers with a single tap. Learn how to prevent SMS pumping fraud, bypass slow carrier delivery times, and build a frictionless Kotlin Android onboarding flow.
firebase • Jun 25, 2026

Tap to verify: No SMS, no Friction with Firebase Phone Number Verification

Are you still relying on SMS OTPs to verify user phone numbers? Nohe explains how to use Firebase Phone Number Verification (PNV) to securely verify user numbers directly through mobile carriers with a single tap. Learn how to prevent SMS pumping fraud, bypass slow carrier delivery times, and build a frictionless Kotlin Android onboarding flow.

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Gemini and Firebase AI logic recently added Google Maps grounding. Instead of relying on expensive RAG (Retrieval-Augmented Generation) server pipelines, you can now connect Gemini directly to real-time, real-world Google Maps data. Join Nohe as he shares how to add Google Maps Grounding to Gemini queries to get better results.
ai • Jun 11, 2026

Location AI: Ground Gemini in Google Maps

Gemini and Firebase AI logic recently added Google Maps grounding. Instead of relying on expensive RAG (Retrieval-Augmented Generation) server pipelines, you can now connect Gemini directly to real-time, real-world Google Maps data. Join Nohe as he shares how to add Google Maps Grounding to Gemini queries to get better results.

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Learn how to create Genkit flows that power your app's backend and frontend, and discover the essential security steps needed to protect your AI endpoints. Nohe covers everything from initial setup to implementing rate limits and caching to keep your project secure and cost-effective.
genkit • May 22, 2026

Introducing Genkit Dart

Learn how to create Genkit flows that power your app's backend and frontend, and discover the essential security steps needed to protect your AI endpoints. Nohe covers everything from initial setup to implementing rate limits and caching to keep your project secure and cost-effective.

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The wait is over! Nohe walks you through how to implement full text search in Firestore Enterprise. Previously, if you wanted to search your Firestore data with keywords, you had to export your data to a third-party provider or deal with the overhead of generating embeddings for Vector Search. Now, everything is integrated directly into the Firestore ecosystem.
firebase • May 14, 2026

Get started with full text search in Firestore

The wait is over! Nohe walks you through how to implement full text search in Firestore Enterprise. Previously, if you wanted to search your Firestore data with keywords, you had to export your data to a third-party provider or deal with the overhead of generating embeddings for Vector Search. Now, everything is integrated directly into the Firestore ecosystem.

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In this deep dive, Nohe explores how to implement the hybrid SDK for Firebase AI Logic on Android. One of the biggest headaches in mobile AI is deciding between a cloud model (reliable but costly) and an on-device model (fast but fragmented). Now, you don't have to choose. With Hybrid Inference, your app can prefer the local model already managed by Android’s AICore and seamlessly fall back to Gemini 3.1 Flash in the cloud if the device isn't compatible.
firebase • Apr 16, 2026

Implement hybrid inference in Android using Firebase AI Logic

In this deep dive, Nohe explores how to implement the hybrid SDK for Firebase AI Logic on Android. One of the biggest headaches in mobile AI is deciding between a cloud model (reliable but costly) and an on-device model (fast but fragmented). Now, you don't have to choose. With Hybrid Inference, your app can prefer the local model already managed by Android’s AICore and seamlessly fall back to Gemini 3.1 Flash in the cloud if the device isn't compatible.

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Simplify your Firebase development workflow by using Cloud Shell directly within the Firebase Console. Nohe demonstrates how Cloud Shell eliminates the need for local tool installations and complex environment setups, allowing you to control Firebase projects, deploy Cloud Functions, and experiment with new web apps effortlessly. Discover how built-in tools like Node.js, Git, Firebase CLI, and Gemini CLI enable tasks such as image conversion and web app deployment, all from a pre-authenticated Google Cloud environment.
firebase • Mar 19, 2026

Cloud Shell in Firebase Console

Simplify your Firebase development workflow by using Cloud Shell directly within the Firebase Console. Nohe demonstrates how Cloud Shell eliminates the need for local tool installations and complex environment setups, allowing you to control Firebase projects, deploy Cloud Functions, and experiment with new web apps effortlessly. Discover how built-in tools like Node.js, Git, Firebase CLI, and Gemini CLI enable tasks such as image conversion and web app deployment, all from a pre-authenticated Google Cloud environment.

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Are your users staring at a frozen screen while your massive LLM processes a prompt? In AI UX, a frozen screen means a broken app. Today, we are fixing that by turning your AI's "black box" into a "glass box" using Operational Transparency. In this video, I’ll show you how to eliminate AI wait anxiety by streaming the model's internal "thoughts" directly to your UI in real-time. Drawing on real-world transit psychology from the London Bus system, we dive into the code to show you exactly how to intercept LLM thought signatures using Firebase AI Logic and the Gemini API. Keep your users engaged, build system credibility, and drastically improve your app's user experience.
firebase • Mar 6, 2026

Cure AI Wait Anxiety with the London Bus Hack

Are your users staring at a frozen screen while your massive LLM processes a prompt? In AI UX, a frozen screen means a broken app. Today, we are fixing that by turning your AI's "black box" into a "glass box" using Operational Transparency. In this video, I’ll show you how to eliminate AI wait anxiety by streaming the model's internal "thoughts" directly to your UI in real-time. Drawing on real-world transit psychology from the London Bus system, we dive into the code to show you exactly how to intercept LLM thought signatures using Firebase AI Logic and the Gemini API. Keep your users engaged, build system credibility, and drastically improve your app's user experience.

Watch on YouTube
Leverage Chrome’s on-device Prompt API to deliver a private, infrastructure-free LLM experience. While on-device models like Gemini Nano offer improved privacy by keeping data local, hybrid AI experiences often require a fallback to a cloud model when local resources are unavailable. This post details how to implement essential transparency warnings and give users a choice to proceed, ensuring reliable functionality while maintaining user trust and preserving privacy as your core value proposition.
firebase • Mar 5, 2026

The Privacy Guardrail: How to Implement Warnings for On-Device LLM Failures

Leverage Chrome’s on-device Prompt API to deliver a private, infrastructure-free LLM experience. While on-device models like Gemini Nano offer improved privacy by keeping data local, hybrid AI experiences often require a fallback to a cloud model when local resources are unavailable. This post details how to implement essential transparency warnings and give users a choice to proceed, ensuring reliable functionality while maintaining user trust and preserving privacy as your core value proposition.

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Tired of generic chatbots? Discover how Firebase AI Logic lets you build unique, streamed conversational AI experiences with Gemini's native audio models! From practicing presentations with AI feedback to building custom voice assistants, the possibilities are endless. This video dives deep into Firebase AI Logic, showcasing how you can create immersive audio interactions within your apps. Learn how to leverage Gemini's native audio models to provide a unique vocal experience, keeping your API keys secure while offering features like custom personas, real-time feedback via tool calls, and diverse voice selections. We'll walk through a practical demo of building an AI assistant that helps practice public speaking, complete with live metrics and a distinct AI personality.
ai • Feb 25, 2026

Get LIVE Feedback from AI: Building a Presentation Coach

Tired of generic chatbots? Discover how Firebase AI Logic lets you build unique, streamed conversational AI experiences with Gemini's native audio models! From practicing presentations with AI feedback to building custom voice assistants, the possibilities are endless. This video dives deep into Firebase AI Logic, showcasing how you can create immersive audio interactions within your apps. Learn how to leverage Gemini's native audio models to provide a unique vocal experience, keeping your API keys secure while offering features like custom personas, real-time feedback via tool calls, and diverse voice selections. We'll walk through a practical demo of building an AI assistant that helps practice public speaking, complete with live metrics and a distinct AI personality.

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In this masterpiece, Nohe and the crew unwrap some of the most requested feature requests from the Firebase community - yes, that's you! This episode unpacks major announcements including the comprehensive integration of Gemini AI across the development workflow, the General Availability of Firebase Data Connect with managed PostgreSQL, and the arrival of real-time updates for Remote Config on the web.
firebase • Dec 19, 2025

Top Features of 2025: AI, SQL & Real-time Updates | Firebase Release Notes

In this masterpiece, Nohe and the crew unwrap some of the most requested feature requests from the Firebase community - yes, that's you! This episode unpacks major announcements including the comprehensive integration of Gemini AI across the development workflow, the General Availability of Firebase Data Connect with managed PostgreSQL, and the arrival of real-time updates for Remote Config on the web.

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The Firebase Extension for Gemini CLI brings AI capabilities directly into your development environment! This video walks you through practical examples of using the Gemini CLI to configure Firebase services and deploy your applications efficiently.
firebase • Nov 26, 2025

Firebase Extension for Gemini CLI

The Firebase Extension for Gemini CLI brings AI capabilities directly into your development environment! This video walks you through practical examples of using the Gemini CLI to configure Firebase services and deploy your applications efficiently.

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Firebase Remote Config for Go servers is here! Stop the stress of 'all or nothing' backend deployments. Now you can use server-side feature flags to safely roll out changes, test new features in production, and get instant rollbacks if something goes wrong.
firebase • Oct 26, 2025

Server Side Remote Config

Firebase Remote Config for Go servers is here! Stop the stress of 'all or nothing' backend deployments. Now you can use server-side feature flags to safely roll out changes, test new features in production, and get instant rollbacks if something goes wrong.

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Level up your AI applications with real-time web content using Google Search Grounding! This video shows you how to ground your AI applications with real-time, publicly available web content, ensuring more accurate and current answers.
firebase • Aug 26, 2025

Google Search Grounding with Firebase AI Logic

Level up your AI applications with real-time web content using Google Search Grounding! This video shows you how to ground your AI applications with real-time, publicly available web content, ensuring more accurate and current answers.

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Firebase Studio, formerly Project IDX, is a cloud-based environment for building, testing, and deploying production-quality applications. Discover how to use Firebase Studio's App Prototyper to quickly build AI applications.
firebase • May 26, 2025

Vibe Coding with Firebase Studio

Firebase Studio, formerly Project IDX, is a cloud-based environment for building, testing, and deploying production-quality applications. Discover how to use Firebase Studio's App Prototyper to quickly build AI applications.

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In this deep dive, Nohe looks at how we can automatically generate Data Connect queries using GraphQL which allows us to declare the type of schema you want your database to have and the type of queries and mutations you want to make ahead of time
firebase • Jan 26, 2025

Auto-generated queries - Release Notes Deep Dive

In this deep dive, Nohe looks at how we can automatically generate Data Connect queries using GraphQL which allows us to declare the type of schema you want your database to have and the type of queries and mutations you want to make ahead of time

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It's time for our monthly deep dive! This month we will take a look at password policies in Firebase Authentication. If you are not familiar, password policies are a set of rules that define requirements for acceptable passwords for your application.
firebase • Dec 26, 2024

Password policies - Release Notes Deep Dive

It's time for our monthly deep dive! This month we will take a look at password policies in Firebase Authentication. If you are not familiar, password policies are a set of rules that define requirements for acceptable passwords for your application.

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Learn how to use Firestore's new Vector Embedding support to power semantic search and recommendations in your Firebase app! In this episode of Firebase Deep Dives, Nohe covers: -What vector embeddings are and how they work -Why you would want to use vector embeddings in your app -How to generate vector embeddings using Vertex AI and Cloud Functions -How to query your Firestore data using vector embeddings and k-nearest neighbors search
firebase • Dec 26, 2024

Firestore Vector Embeddings - Release Notes Deep Dive

Learn how to use Firestore's new Vector Embedding support to power semantic search and recommendations in your Firebase app! In this episode of Firebase Deep Dives, Nohe covers: -What vector embeddings are and how they work -Why you would want to use vector embeddings in your app -How to generate vector embeddings using Vertex AI and Cloud Functions -How to query your Firestore data using vector embeddings and k-nearest neighbors search

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Welcome to another episode of Firebase Release Notes Deep Dive. In this episode, Alexander Nohe is going to show you updates that were made to App Hosting Environment Configurations and in particular infinite subdomains!
firebase • Dec 26, 2024

Infinite subdomains with App Hosting

Welcome to another episode of Firebase Release Notes Deep Dive. In this episode, Alexander Nohe is going to show you updates that were made to App Hosting Environment Configurations and in particular infinite subdomains!

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Join Nohe in this Firebase Deep Dive as he gives a quick overview of the Genkit Go SDK, Firebase's AI Orchestration Framework. Nohe walks through setting up Genkit for Go using the Genkit CLI and demonstrates the Genkit DevUI for troubleshooting issues as they come up.
firebase • Dec 26, 2024

Genkit Go SDK - Release Notes Deep Dive

Join Nohe in this Firebase Deep Dive as he gives a quick overview of the Genkit Go SDK, Firebase's AI Orchestration Framework. Nohe walks through setting up Genkit for Go using the Genkit CLI and demonstrates the Genkit DevUI for troubleshooting issues as they come up.

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Password reuse is a security risk. Unfortunately, this is something many app users do. When passwords are compromised, those user accounts become vulnerable to credential stuffing attacks, which is when a malicious actor tries to reuse those passwords on multiple sites in an attempt to totally take over those accounts. In this demo, we’ll show you how you can help your users mitigate these types of attacks using Firebase App Check and Firebase Authentication endpoints.
firebase • Nov 8, 2023

How App Check helps protect your app from credential stuffing

Password reuse is a security risk. Unfortunately, this is something many app users do. When passwords are compromised, those user accounts become vulnerable to credential stuffing attacks, which is when a malicious actor tries to reuse those passwords on multiple sites in an attempt to totally take over those accounts. In this demo, we’ll show you how you can help your users mitigate these types of attacks using Firebase App Check and Firebase Authentication endpoints.

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Nohe and Khanh are on a mission to build a Flutter with @Firebase app. In 24 hours, they’ve built a video sharing app that uses AI (via the PaLM API) to automatically generate video summaries for users. Watch this episode of Learning to Fly to learn more!
firebase • Sep 28, 2023

24 hours with AI extensions, security, and more!

Nohe and Khanh are on a mission to build a Flutter with @Firebase app. In 24 hours, they’ve built a video sharing app that uses AI (via the PaLM API) to automatically generate video summaries for users. Watch this episode of Learning to Fly to learn more!

Watch on YouTube