Blog Posts

Google’s NotebookLM is a hidden gem in the world of information processing. It is not just another chatbot; it is a personalized AI research assistant grounded in your own documents. If you have ever felt overwhelmed by the sheer amount of documentation, PDFs, or websites you need to read to get a job done, this tool is for you at no cost. In this post, you will learn how to use NotebookLM, explore every important NotebookLM feature, and walk through a real-life example of using it to land a Senior Software Engineer job. Let’s get started!

Using Google AI Studio’s build feature, you can build any frontend application by giving a prompt. The Build feature in AI Studio generates applications that use the Gemini SDK without any server-side components. The apps run in a sandboxed frame. For this post, you will create a tech resume reviewer that will score your resume out of 100 against a given job description. Let’s get started!

Imagine being able to open a pull request or close an issue without leaving your IDE/Editor. This is made possible by the GitHub Model Context Protocol (MCP) server. In this post, you will learn how to use the remote GitHub MCP server with GitHub Copilot on VS Code. Let's get started!

Gemma is a collection of lightweight, modern open models built by Google. They are designed to run fast on devices like phones, on machines in the cloud, to help developers create AI applications. In this post, you will learn the easiest and fastest way to run the latest version of Gemma, 3 (4 B), on Google Cloud Run deployed from Google AI Studio. Let’s get started!

Can you code and deploy a basic but functional app with minimal coding experience? With the latest Google AI Studio feature, you can build and deploy apps by instructing an agent in minutes. You can also deploy the app on Google Cloud Run and make changes easily. This post will show you how. Let’s get started!