Google Antigravity 2.0 has some very interesting features. One of them is the /goal command, which runs until the specified task is complete, without asking the user for intermediate input. The point here is to achieve the goal by iteratively and autonomously checking the output until it is accomplished. In this post, you will learn how to use /goal to build a last updated at feature on this blog and also test it on the browser with only one prompt. Let's get going!

Have you ever tried building an AI agent, only to get bogged down in massive, complex frameworks just to get a basic output? If you want a clean, code-first way to build and debug agents without the boilerplate, Google’s open-source Agent Development Kit (ADK) is what you need. In this post, you will learn how to set up the Python SDK, code your first Gemini-powered agent that checks facts, and test it locally using ADK’s built-in web playground. Let's get started!

Google AI Studio has recently added an array of new features, calling it a new full-stack vibe-coding experience and vibe-coding-to-production. The new features include the ability to generate music, use Google Search data, use Google Maps data, add a database and auth, and add Gemini intelligence, to name a few. In this post, you will learn about adding a database and auth, which uses Google Firebase in the background to do so. Let’s get started!