AI coding agents are evolving rapidly, but many developers are looking for solutions that offer more flexibility, transparency, and efficiency than proprietary alternatives. OpenCode has emerged as a compelling option: a fully open-source, terminal-first AI coding assistant that supports multiple model providers, local LLMs, and advanced agent workflows. Unlike some
The era of "Vibe Coding" is here. Coined by Andrej Karpathy, it describes a shift from writing every line of code manually to guiding an AI agent to generate, refine, and debug applications through natural conversation. It's fast, iterative, and—when done right—unbelievably satisfying. But
In the evolving landscape of product development, one friction point has remained persistent: the gap between idea, design, and code. Enter Stitch by Google, an experimental AI tool that aims to compress that entire workflow into a matter of minutes. Available at Stitch by Google, Stitch represents a meaningful shift
The era of "vibe coding" is officially here. Instead of getting bogged down in boilerplate, you can now build a full-featured application—including user authentication, database management, and AI integration—in a single session. In this guide, we’ll walk through the process of building a comprehensive Health
As a Product Manager, it's essential to translate emerging technology standards into strategic product thinking. Here’s a blog-style breakdown of MCP: what it is, why it matters, and a simple use-case to make it concrete. What is MCP? At its core, MCP is an open protocol that
Prerequisites: Setting Up Your Windows Environment Before we install anything, ensure your Windows machine is CLI-ready: 1. PowerShell or Command Prompt: Windows 10/11 comes with PowerShell—use it for better scripting. Open it via Win + X > Windows PowerShell. 2. API Keys: You'll need accounts with Google
From recognizing patterns to mimicking human interactions, here’s how AI is transforming our world. Artificial Intelligence (AI) is no longer a futuristic concept—it’s woven into the fabric of daily life. From unlocking your phone with facial recognition to predicting flight delays, AI’s quietly revolutionizing industries and
Large Language Models (LLMs) like ChatGPT are powerful, but they don't automatically know everything—especially about your private documents, business data, or niche subjects. Fortunately, there are ways to add reference material to help LLMs generate more accurate and helpful responses. Here are the three main methods to
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by combining them with external data sources to provide contextually relevant and accurate responses. This tutorial guides you through setting up a fully local RAG system using user-friendly UI tools: Open WebUI for the chat interface and RAG pipeline, n8n for workflow
A well-defined product strategy is the foundation of any successful product. It aligns teams, guides decision-making, and ensures that the product delivers value to both the business and its customers. But how do you go about creating one? In this blog post, we’ll break down the key steps to
In product management, defining a clear and compelling problem statement is a crucial first step in building successful products. A well-crafted problem statement aligns stakeholders, focuses teams on solving real user pain points, and ensures that development efforts deliver meaningful impact. But how do you create one effectively? Let’s
Effective prioritization is at the heart of product management. With limited resources and an ever-growing list of features, improvements, and technical debt, choosing what to build next is a challenge. This is where prioritization frameworks come in. Several widely used frameworks in product management include MoSCoW, RICE, WSJF, and others.