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Series
A deep dive into building modern AI-driven systems — from intelligent agents and workflows to backend architecture and real-world integrations.
This series explores how AI fits into production systems, covering protocols like MCP, agent frameworks, system design patterns, and practical implementations. The focus is on building scalable, real-world solutions — not just experiments.
Bridging Local Infrastructure and Cloud APIs Using the Model Context Protocol How the Model Context Protocol turns a fragile mess of custom connectors into a secure, autonomous DevOps command station.
Connect any AI model to any tool, database, or API — once and for all. For years, AI developers faced what's known as the N × M integration problem. Suppose you wanted three different AI models to in
