AI in Practice Hub is an engineering-focused publication by senior software engineer Gursharan Singh, offering practical guidance on designing and operating production-grade AI systems. Its central principle is “patterns over products”: the emphasis is on durable architectural decisions rather than hype, framework surveys, or model-picking advice.

The site organizes its material into three series. AI Agents in Practice explores agent control loops, design patterns, production behavior, failure analysis, and safety boundaries. RAG in Practice covers the retrieval pipeline, chunking, debugging, implementation, and production challenges. MCP in Practice explains how models connect to tools and systems, including request flows, server building, transport, authentication, and security.

A decision-oriented Patterns layer helps engineers make choices such as whether to use an agent, workflow, or single model call, and whether to choose RAG, fine-tuning, or long context. The hub also offers a hands-on RAG Debugging Lab that runs locally with Python. Examples use TechNova, a fictional company, to make technical trade-offs concrete.