The first three parts of this series covered why production RAG systems fail and how the quality of the data foundation directly affects everything that comes after it. We looked at document ingestion
AI does not need another model. It needs a standard way to connect models to tools, data, and workflows. That is the problem the Model Context Protocol, or MCP, is trying to solve. It gives AI systems
Most developers learn background jobs through a deceptively simple mental model: Put a task into a queue. A worker picks it up. The task gets executed. That’s it. At least, that’s what we tell ou
Most developers underestimate how difficult messaging systems actually are. A basic chat demo with WebSockets can be built in a few hours. A production-grade messaging platform like WhatsApp, Telegram
CI/CD isn't just automation — it's a system for controlling risk in software delivery. This practical guide shows how to design reliable pipelines for frontend (React/Next.js) and backend systems, inc
What you'll learn: Why "just send a WebSocket event" fails in production The exact failure modes and their root causes Concrete patterns for delivery semantics, ordering, and deduplication An oper
Most AI products don’t fail because the AI is weak. They fail because the product has no moat.