Building Trustworthy AI Agents: A Practical Framework for Evaluation, Observability, and MonitoringJul 18, 2026·57 min read
Building Production-Ready AI: The Critical Role of Feature Engineering and Data PipelinesJun 28, 2026·76 min read
Pinned🚀 Why MCP Became So Famous in Very Little Time.In the rapidly evolving landscape of artificial intelligence, new paradigms emerge frequently. However, few have achieved the massive impact and widespread adoption that Model Context Protocol (MCP) has accomplished in such a short timeframe. MCP rep...May 24, 2025·6 min read
🚀 LangChain vs Google ADK: Choosing the Right Framework for Agentic AI 🎯🧩Introduction As artificial intelligence continues to evolve, developers are increasingly building sophisticated agentic systems that can reason, plan, and execute complex tasks autonomously. Two prominent frameworks have emerged in this space: Lang...Nov 30, 2025·8 min read
🚀 From Prompts to Agents: Lessons Learned from Building Real-World AI Systems 🎯A practical roadmap for developers and AI teams to design, orchestrate, and deploy intelligent agentic systems powered by LLMs.Oct 5, 2025·25 min read
The AI Revolution: What Will Humans Do When AI Does Everything? 🤔A Technical Deep Dive into the Future of Human-AI Collaboration Recently I visited my college, and during a casual conversation with some of my juniors, one simple question came up: “If AI does everything, what will humans do?” As an AI Engineer work...Jul 13, 2025·14 min read
Building Modular AI Pipelines with GenAI Processors: A Developer's Guide to Stream-Based ProcessingBuilding sophisticated AI applications often feels like assembling a complex puzzle. You're juggling diverse data processing steps, managing asynchronous API calls, and stitching together custom logic. As your application grows, this complexity can l...Jul 5, 2025·7 min read
Understanding AI Agents and AI Agents Frameworks.🚀 Introduction In the era of Generative AI, we're no longer limited to passive LLMs that just respond to prompts. Today, we build AI agents—intelligent software entities that think, plan, and act. With the rise of agentic frameworks like LangGraph, ...Jun 21, 2025·7 min read
🧠 Function Calling vs. Model Context Protocol (MCP): Building the Future of Intelligent AI AgentsAs Large Language Models (LLMs) continue to mature, they are shifting from being just language generators to action-oriented agents capable of executing complex tasks. In this evolving landscape, two key paradigms have emerged for integrating LLMs wi...May 11, 2025·6 min read
