Ai

From chatbots to autonomous systems—how AI agents work under the hood, which patterns scale in production, and how to build them without losing control of your stack.

Frontier models are not always the right tool. When smaller, faster models win for autocomplete, privacy, and cost—and how to evaluate them.

AI can draft docs fast—but only engineers can make them true. A workflow for accurate runbooks, ADRs, and onboarding guides.

Model Context Protocol is turning IDEs into orchestration layers. Here is how MCP works and how to use it without leaking secrets or trust.

How to integrate AI coding assistants into a real workflow without outsourcing judgment—or shipping faster bugs.