AI Coding Dictionary
Explore plain-English definitions of AI coding concepts through an interactive 3D graph of interconnected terms.
The gist
The AI Coding Dictionary is a web-based reference guide that explains modern AI coding vocabulary in plain English. It maps key concepts—such as tokens, context windows, and agents—into an interactive 3D graph. It is built for non-technical learners, creators, and teams who want to understand AI discussions without getting lost in technical jargon.
What it does
- Defines core AI and model concepts such as tokens, context windows, parameters, and cache tokens in simple language.
- Explains agent mechanics, including sessions, system prompts, permission modes, and tool calls.
- Maps failure modes like hallucinations, attention degradation, and context limits so users know what can go wrong.
- Visualizes vocabulary terms inside an interactive 3D graph to show how concepts connect to each other.
How it works
The website organizes AI terms into clear thematic categories like models, sessions, tools, and failure modes. Each term features a plain-English definition paired with related concepts. An interactive 3D visual graph links terms together so you can see how individual parts fit into the larger AI workflow.
Best for
- Beginners and non-technical founders trying to understand conversations about AI coding tools.
- Small agency teams needing a shared, plain-English reference for AI terminology.
- Anyone curious about how AI models, agent harnesses, and context windows connect to each other.
Watch out for
- It is a conceptual dictionary and reference tool, not an AI coding assistant that writes code for you.
- Navigation relies on an interactive 3D graph, which may require a modern web browser to explore smoothly.
- Content focuses specifically on AI coding and agent terminology rather than general computing.
What you need: Works in your browser or an app, nothing to install. Cost: free.