Automation

Articles exploring automation as an engineering discipline — from Python scripting and build pipeline design to the protocols and standards that make automated systems interoperable. Topics include task composition patterns, agentic workflows, and headless agent integration, alongside emerging standards such as llms.txt (a proposed convention for exposing structured, LLM-readable content at inference time) and Model Context Protocol (MCP) for tool-augmented language model pipelines. The series treats automation not as a collection of one-off scripts but as a practice: how systems are designed to be idempotent, observable, and composable at scale.