mattpocock/dictionary-of-ai-coding

Project overview

By translating complex AI coding jargon into accessible plain English organized across thematic sections, this project addresses a real learning barrier for developers encountering mysterious failures and hard-to-understand costs in AI-assisted coding.

Project type

Prompt Engineering · Learning Resources

Use cases

Learning & Education

Deployment

Refer to project documentation

License

License pending

Best for

• Developers who want to quickly learn AI coding vocabulary and understand concepts that currently cause confusion and mysterious failures.
• Educators who need a structured, plain-English reference for teaching AI coding terminology across thematic areas.

Key capabilities

• A structured dictionary of AI coding terms organized into thematic sections covering models, context, tools, failure modes, and workflows.

Getting started

• The easiest path to success is to visit aicodingdictionary.com, where the dictionary content is accessible without any installation.

Evidence and sources

• README: Source: dictionary/*.md, internal/Curriculum.md, internal/README.template.md Regenerate: npm run generate
• README: That's what this dictionary is for. **The vocabulary of AI coding, translated into plain English**.
• README: Section 1 — The Model
• README: <a href="https://aicodingdictionary.com">
• GitHub project description: AI coding jargon, explained in plain English.

Reviewed at: 2026-07-17T02:02:20Z

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