I was exploring a core concept about AI and AI Agents and frequently came across ReAct. As I kept seeing it, I thought to take a deeper dive and below is my understanding." Today’s AI models can search the web, use tools, solve multi-step problems, write code, and even interact with software environments. One of the most important concepts behind this evolution is ReAct. ReAct combines reasoning and action into a single framework, enabling AI systems to think step by step whi

I used Firebase Studio for some of my projects and my experience was great. With Google announcing its shutdown, many developers like me are now asking: 👉 Why is it being discontinued? 👉 What should you do next? Let’s break it all down in a simple, practical way. What is Firebase Studio? Firebase Studio is a cloud-based development environment (IDE) built by Google that allows developers to build full-stack applications directly in the browser. It combines: AI-powered codin

Artifical Intelligence is getting interesting day by day as it continues to evolve rapidly, and Google’s Gemma family of models represents an exciting step forward in lightweight, efficient, and developer-friendly AI. With the release of Gemma 4, developers and researchers gain access to improved performance, better reasoning, and streamlined deployment options. Today, we’ll walk through what Gemma 4 is, how to set it up, and how to test it using Google AI Studio. What is Gem

Every AI coding tool faces the same fundamental problem: your codebase is too large to fit in a context window, but the model needs to understand it to help you. How a tool solves that problem shapes everything about what it can and can't do. GitHub Copilot and Claude Code solve it in opposite ways - and the gap between them isn't a matter of polish or features. It's a genuine architectural disagreement. How Copilot Works: Index First, Retrieve Later If your repository is hos

Most AI demos look impressive. Most AI agents in production quietly fail. The difference is rarely the model — it's everything built around it. Agentic AI refers to systems where a model takes autonomous, multi-step actions to complete a goal — browsing the web, writing and running code, calling APIs — acting, observing the result, and acting again, often over hours. Harness engineering is the discipline of building the system that makes those actions reliable. As LangChain p

Believe it or not AI is here to stay. In 2025, we saw a huge spike of Agentic AI Application and AI Agents. Now the question arise is how secure this AI Agents and Applications are? I was reading a research paper by Santiago Díaz, Christoph Kern, Kara Olive from Google in which they presented Google’s Approach for Secure AI Agents. In the Introduction, Google did presented and shared the potential and risks associated with the AI Agents and did mentioned the need for Agent

Google launched Gemini Enterprise to solve core problem of fragmented, siloed business data. Now, you may ask what is Gemini Enterprise? Gemini Enterprise is an agentic platform that acts as an "operating system for AI" to automate complete, end-to-end workflows across the organization. It is designed to take action on your behalf, not just provide simple assistance. Gemini Enterprise is build on 6 core components Brains: Powered by Google's capable Gemini models. Workbench: