Architecture, tooling, and infrastructure patterns for AI-powered systems.
7 articles
Language choice, transport layer, tool registration, error handling, security model, testing, and deployment for a production MCP server.
What problem MCP solves, how our server works, and the tool design patterns that make AI agents actually useful.
AI models use tool names to decide when and how to call them. Good naming reduces errors, bad naming causes cascading failures.
The information you feed an AI agent matters as much as the instructions you give it. Four patterns for getting context delivery right.
Fan-out for parallel work, pipeline for sequential processing, orchestration for dynamic routing. Architecture diagrams and tradeoffs for ea...
When AI agents can call tools, security becomes a first-class concern. Here's a practical guide to locking down AI tool access.
Combining keyword search, vector embeddings, and AI re-ranking into a search system that actually understands what users want.