Dictionary of AI Coding is an educational reference project that explains AI coding terminology in plain English. It is designed for developers who use coding agents but feel slowed down by unclear vocabulary, hidden assumptions, confusing billing concepts, and inconsistent model behavior. The dictionary organizes terms across models, context windows, tools, environments, failure modes, handoffs, and related AI coding workflows. Its tone is intentionally direct and accessible, avoiding dense academic or vendor-heavy language. The project helps users name what is happening when prompts fail, context degrades, tools behave unexpectedly, or agent sessions become hard to manage. Its main value is turning AI coding jargon into practical vocabulary that developers can understand quickly and use in real work.
Features
- Plain-English AI coding glossary
- Coverage of models, tokens, and context
- Explanations of tool and environment concepts
- Failure-mode vocabulary for coding agents
- Handoff and session terminology
- Developer-focused educational reference