@acloudpotato
Engineering@Searce Inc, Google Developer Expert, Cloud Adviser, Tech Speaker
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Vibe Code with Gemini in Google AI Studio | Google Codelabs
Vibe Code with Gemini in Google AI Studio | Google Codelabs
In this codelab, you’ll build a web application using vibe coding in AI Studio, and deploy the application to Cloud Run.
Deploy from AI Studio to Cloud Run | Google Codelabs
Deploy from AI Studio to Cloud Run | Google Codelabs
In this codelab, you’ll build a web application using vibe coding in AI Studio, and deploy the application to Cloud Run.
MonSkills Analytics
MonSkills Analytics
Download analytics dashboard for MonSkills
Authoring Google Antigravity Skills | Google Codelabs
Authoring Google Antigravity Skills | Google Codelabs
The codelab covers Antigravity Skills, a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows. The lab demonstrates how to build multiple Agent Skills and use them in Antigravity.
Automated UI Testing with Antigravity (AGY) CLI, BrowserMCP, Playwright, and the Browser Agent | Google Codelabs
Automated UI Testing with Antigravity (AGY) CLI, BrowserMCP, Playwright, and the Browser Agent | Google Codelabs
We’ll explore how to use Antigravity CLI along with agent skills, and multimodal MCP tools like BrowserMCP. You’ll see how to create and run automated UI tests using natural language, showing how agentic tools can handle complex tasks and give you superpowers as a builder.
Google Codelabs
Google Codelabs
Google for Developers Codelabs provide a guided, tutorial, hands-on coding experience. Most codelabs will step you through the process of building a small application, or adding a new feature to an existing application. They cover a wide range of topics such as Android Wear, Google Compute Engine, ARCore, and Google APIs on iOS.
Google Antigravity
Google Antigravity
Google Antigravity - Build the new way
Codelab 1 - Antigravity Intro
Codelab 1 - Antigravity Intro
Build a professional web application by bridging AI design and autonomous coding. You will use Google Stitch to generate a high-fidelity UI, then connect it to the Antigravity IDE via the Model Context Protocol (MCP). Finally, you will use an autonomous agent to fetch the design assets and implement a production-ready React site.
Codelab 2 - Antigravity Advanced
Codelab 2 - Antigravity Advanced
Build a working application by guiding software requirements through their entire lifecycle from technical specification to deployment using Antigravity. You will learn how to configure specialized AI personas with agents.md, program rigorous technical rules with skills.md, and orchestrate the entire zero-code development process using custom slash workflows directly within the Antigravity IDE.
Getting Started with Google Antigravity | Google Codelabs
Getting Started with Google Antigravity | Google Codelabs
This codelab guides you through the process of installing and experiencing the features of Google Antigravity, an Agent-first development platform.
Secure AI Framework - SAIF
Secure AI Framework - SAIF
Understand the Secure AI Framework and SAIF Risk Map. Explore the top security risks and controls for AI.
Google's Secure AI Framework (SAIF) - Google Safety Centre
Google's Secure AI Framework (SAIF) - Google Safety Centre
Explore the 6 core elements of Google’s Secure AI Framework and how it helps address AI model security, risk management, and privacy concerns.
Building AI Agents with Vertex AI Agent Builder | Google Codelabs
Building AI Agents with Vertex AI Agent Builder | Google Codelabs
In this codelab you’ll learn how to build and deploy generative AI agents using Google Cloud’s powerful tools and infrastructure. We’ll cover the essential concepts and walk you through the initial steps to get your first agent up and running.
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