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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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If you've ever shipped an app that worked perfectly under the hood but looked like it was built in 2003, this episode is for you. Designing beautiful, responsive user interfaces is notoriously difficult, but what if you could outsource the heavy lifting to an AI? In this episode, we explore Stitch, Google Labs’ AI-powered UI generation tool that acts as your personal creative director, building stunning interfaces on the fly without writing a single line of initial CSS. Host Nohe sits down with David East, DevRel Engineer at Google Labs, for a complete walkthrough of the Stitch platform. You'll see David design a fully custom Maryland crabbing tour website from scratch, establish non-negotiable constraints like color and theme, and dive deep into Design.md—the secret file that translates your creative intent into tokenized AI values. The episode also features an incredible demo using the Gemini CLI and the Stitch MCP server to pull down production-ready HTML and Tailwind CSS straight to your local environment, followed by a rapid-fire "hot takes" round on the future of frontend engineering. Whether you’re a backend developer avoiding Flexbox or a seasoned architect looking to speed up your prototyping, you'll walk away from this episode knowing exactly how to prompt an AI for highly-specific UI designs. You'll learn the concept of "semantic compression," how to leverage design variants, and why treating AI as your creative partner rather than just a code generator yields the best results.
ai • May 11, 2026

Google New AI UI Generation Tool - Full Demo | The Agent Factory

If you've ever shipped an app that worked perfectly under the hood but looked like it was built in 2003, this episode is for you. Designing beautiful, responsive user interfaces is notoriously difficult, but what if you could outsource the heavy lifting to an AI? In this episode, we explore Stitch, Google Labs’ AI-powered UI generation tool that acts as your personal creative director, building stunning interfaces on the fly without writing a single line of initial CSS. Host Nohe sits down with David East, DevRel Engineer at Google Labs, for a complete walkthrough of the Stitch platform. You'll see David design a fully custom Maryland crabbing tour website from scratch, establish non-negotiable constraints like color and theme, and dive deep into Design.md—the secret file that translates your creative intent into tokenized AI values. The episode also features an incredible demo using the Gemini CLI and the Stitch MCP server to pull down production-ready HTML and Tailwind CSS straight to your local environment, followed by a rapid-fire "hot takes" round on the future of frontend engineering. Whether you’re a backend developer avoiding Flexbox or a seasoned architect looking to speed up your prototyping, you'll walk away from this episode knowing exactly how to prompt an AI for highly-specific UI designs. You'll learn the concept of "semantic compression," how to leverage design variants, and why treating AI as your creative partner rather than just a code generator yields the best results.

Watch on YouTube
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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In this episode of Tech Sits, Rody and Nohe dive into their latest development projects and AI workflows. Topics covered in this episode: Genkit: An overview of the AI orchestration framework for full-stack applications. Continuous Improvement Loops (Kaizen): Using models like Mistral and Gemini to iteratively refine AI outputs. Vertex AI Model Garden: Accessing serverless models without managing infrastructure. Operational Transparency: Exploring how the Gemini CLI streams thinking tokens to improve user experience. Developer Portfolio Rebuilds: Rody shares his process for rebuilding his website using AI Studio, React, and Astro. Automating Metadata: Embedding Gemma 3N to auto-generate blog descriptions and surface related posts via KNN queries. Astro Galleries: Creating photo galleries with masonry layouts and lightboxes.
genkit • Mar 11, 2026

Genkit, AI Continuous Improvement & Astro Website Builds

In this episode of Tech Sits, Rody and Nohe dive into their latest development projects and AI workflows. Topics covered in this episode: Genkit: An overview of the AI orchestration framework for full-stack applications. Continuous Improvement Loops (Kaizen): Using models like Mistral and Gemini to iteratively refine AI outputs. Vertex AI Model Garden: Accessing serverless models without managing infrastructure. Operational Transparency: Exploring how the Gemini CLI streams thinking tokens to improve user experience. Developer Portfolio Rebuilds: Rody shares his process for rebuilding his website using AI Studio, React, and Astro. Automating Metadata: Embedding Gemma 3N to auto-generate blog descriptions and surface related posts via KNN queries. Astro Galleries: Creating photo galleries with masonry layouts and lightboxes.

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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.

Dive in
Ready to move beyond single-model agents? Dive into continuous improvement loops (Kaizen) using Genkit and Vertex AI Model Garden. We show you how to use models from multiple providers as a 'writer' and a 'critic' to build AI agents that critique and refine their own outputs for maximum quality and improved results.
genkit • Mar 4, 2026

Maximize Your Agent's Output: Leveraging Multi-Provider Models in Genkit

Ready to move beyond single-model agents? Dive into continuous improvement loops (Kaizen) using Genkit and Vertex AI Model Garden. We show you how to use models from multiple providers as a 'writer' and a 'critic' to build AI agents that critique and refine their own outputs for maximum quality and improved results.

Dive in
Simplify your LLM development by using one Genkit plugin to access models like Claude, Mistral, Gemini, and Llama from Vertex AI's Model Garden. Learn how to switch between large language models without the hassle of rotating API keys or tracking multiple quotas.
genkit • Mar 3, 2026

One plugin for endless model choices

Simplify your LLM development by using one Genkit plugin to access models like Claude, Mistral, Gemini, and Llama from Vertex AI's Model Garden. Learn how to switch between large language models without the hassle of rotating API keys or tracking multiple quotas.

Dive in
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.

Watch on YouTube
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.
ai • Feb 4, 2026

Talking about Skills, Optimizing Prompts and building MCP servers in apps

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.

Watch on YouTube
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.
ai • Jan 26, 2026

Gemini CLI vs. Antigravity: The Battle for Better AI Workflows

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.

Watch on YouTube
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.

Watch on YouTube
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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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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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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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