Long LLM inference times can frustrate users. Learn how to use Operational Transparency and Firebase AI Logic to stream "thinking" steps, turning the black box into a glass box and keeping users engaged.
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We’re diving deep into the latest paradigms in AI development, starting with the difference between traditional context files (Gemini.md) and the new "Agent Skills" dynamic. We also share a story about using the Vertex AI Prompt Optimizer to automate our YouTube descriptions. It took 5 hours and nearly 100 million tokens, but the results were surprisingly consistent. Finally, we geek out on the Model Context Protocol (MCP), experimenting with exposing Flutter application state as local tools using Unix sockets.
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AGENTS.md is dead weight. Discover the automated workflow for building lean, token-saving Agent Skills.
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In this next episode of our "untitled" podcast, Nohe and Rody take a "tech walk" to discuss the evolving landscape of AI development tools. We dive deep into the differences between the linear workflows of Gemini CLI and the asynchronous, project-level capabilities of Anti-Gravity. We also geek out on home lab setups—discussing the shift from Docker Compose to Kubernetes (K3s) on Raspberry Pi clusters—and share a game-changing workflow using NotebookLM to generate context files for your AI agents. Finally, we explore Stitch for generative UI, including how to instantly create shaders and animations from simple screenshots.
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Learn how to use the Vertex AI Prompt Optimizer to automatically tune your prompts to get better results by iterating on your prompts and then running an evaluation on the outputs assessing their quality to see if it has improved.
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Learn how to improve your AI outputs to a more reliable output through continuous improvement.
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Explore the concept of 'product blinders' in software development and DevRel. How deep focus can obscure obvious flaws or existing solutions, and why fresh perspectives are crucial for better API design and user experience.
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I used AI to rebuild my blog into something better. Come along as I show you how I show you why and how I did it.
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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.
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Nohe breaks down how he built a "Campaign Agent" for Dungeons & Dragons/Pathfinder. This system uses a loop of specialized agents to help manage game sessions.
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Learn how to secure AI agents and tool calls to prevent prompt injection and unauthorized data access using authorized application context.
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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.
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Learn how to secure AI endpoints from abuse and prohibitive costs using Firebase App Check, replay-protected tokens, and rate limiting.
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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.
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Add AI-powered review suggestions to your app that automatically suggest star ratings as users type.
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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.
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Discover the power of Firebase's Model Context Protocol (MCP) Server! Learn how this experimental tool connects AI applications with enterprise data and tools, streamlining communication and enabling secure AI actions on behalf of users.
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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.
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In this deep dive, Alexander Nohe takes a look at Imagen for image generation and presents a challenge to those viewers to come up with a prompt for generating their own images. Learn more about Imagen and the Vertex AI SDKs here.
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Custom signals for Remote Config in Firebase allow you to match arbitrary signals that you define in the app with conditions server side. This lets you tailor your app to specific local experiences. Learn more with Alexander Nohe in this week's deep dive!
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Genkit monitoring is a feature of Genkit that provides observability into your Genkit using the OpenTelemetry standard.
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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
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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.
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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
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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!
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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.
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Integrate the Gemini API with Firebase to add generative AI capabilities to your apps using Firebase Extensions.
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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.
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Rosario Fernandes and Alexander Nohe walk you through deploying a Cloud Function running in Kotlin to react and communicate with Firestore.
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Learn how App Check tokens work so you can safely use them with your high value service.
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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!
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Hate when you're forced to sign in to an app just to try it out? Me too. Learn how Firebase anonymous authentication can help you provide a good experience to your users while maintaining their in app created data.
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In this video, Developer Relations Engineer Alexander Nohe will show how you can quickly add Firebase to all of the supported Flutter platforms.
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Find out the origin story of Veit, a grave domain cleric in the Dragonlance Campaign Setting.
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Learn how to use Firebase features for Flutter, including user authentication, data deletion, feature flagging, and crash tracking.
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Lets build a scalable app fast!
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Making a color pop photo filter with Flutter and ML Kits Selfie Segmentation API
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Learn about signing Android packages client side in your browser with this new library.
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Google Play is the best place for people to find and install stellar software for their Chromebooks. This hands-on Session is for developers and publishers who want to get their Progressive Web App (PWA) discovered by Chrome OS users in Google Play. We use step-by-step examples and demos to explain the essentials of listing a PWA in the Chrome OS Google Play Store, including how to create and upload an application bundle using a Trusted Web Activity.
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Digital Asset Links allow your website to declare that it's related to an Android app and vice versa. It also allows your app to display your website full screen and have your app handle intents to your website. We show you how to find and validate your Digital Asset Links for your Trusted Web Activity.
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