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Recently, I built a fully functional MCP (Model Control Plane) server powered by PostgreSQL—something I found incredibly useful when trying to make LLMs interact intelligently with structured data. If you've ever struggled to bolt on a REST API for e...
Most AI agents fail not because of the model — but because developers ignore memory architecture.
Small background jobs that quietly prevent big production incidents.
🔥 Introduction What if you could query your database like this: "Show me top 10 users by revenue" …and get instant results—without writing SQL? Welcome to the world of AI-powered database agents. I
A candid look at using AI agents to build a SaaS product — what works, what doesn't, and why I'm never going back to building solo. The Problem With Building Alone Before I talk about OpenClaw, let m
Most AI agents today are just a single prompt and a single response. That approach works—until you need structure, reliability, or production-grade workflows. In this post, we’ll explore sequential AI agents, how they differ from normal AI agents, an...
E-commerce is rapidly transforming — and AI-powered shopping assistants are becoming the new default buying experience.Think about it: Instead of browsing 20 product pages, users simply ask: “Show me red shoes under ₹1500.” Instead of navigating a...
Over the last few years, decentralized applications (dApps) have become one of the most exciting areas in Web3. Instead of relying on centralized servers, dApps interact directly with blockchains—allowing users to own their assets, sign transactions,...
As applications grow in complexity, microservices become the go-to architectural pattern. But with them comes a new challenge: API sprawl. Each service manages its own schema, leading to a tangled mess of REST endpoints or isolated GraphQL APIs. Ente...
