AI coding jargon, explained in plain English.
Browse cluster: Claude AI Agent Frameworks & MCP Tools →Dictionary-of-AI-Coding is an open-source project that provides plain-English explanations of artificial intelligence and coding jargon. The project consists of individual markdown entries covering concepts across seven sections—The Model, Sessions and Context Windows, Tools and Environment, Failure Modes, Handoffs, Memory and Steering, and Patterns of Work—organized to help developers understand AI coding terminology and prevent the confusion that ambiguous jargon creates. The entries are written to identify real-world symptoms and problems that readers have encountered, explain the mechanism behind each term, and offer guidance on what to do about it, with each definition linked to related concepts and reinforced through usage examples. The material indicates the project is maintained as an open repository with issue tracking and a structured process for adding and cross-referencing entries.