# mattpocock/dictionary-of-ai-coding

AI coding jargon, explained in plain English.

Repository: https://github.com/mattpocock/dictionary-of-ai-coding
Canonical: https://ross.abutalabs.com/products/dictionary-of-ai-coding
Language: TypeScript
License Family: other
Last push: 2026-07-02T13:31:02+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 90, release rhythm 35, longevity 8
- inputs: {"age_days": 124, "days_push": 62, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4033, forks 479 (observed 2026-08-28T04:08:32.633630+00:00)

## What it is
An open-source dictionary that explains AI coding jargon (tokens, context windows, agents, MCP, hallucination, etc.) in plain English. It is a curated educational reference site generated from markdown entries, not a software library.

## Use cases
- learn what a context window is
- understand AI coding jargon in plain English
- explain tokens and context to my team
- look up what MCP means
- understand why my AI coding bill is so high
- onboard developers to AI-assisted coding terminology

## When to choose
- you are new to AI-assisted coding and confused by the vocabulary
- you want a free, plain-English reference for LLM and agent terms
- you need to onboard a team to AI coding concepts quickly

## When to avoid
- you need a software library or tool to integrate into your codebase
- you want deep technical training or hands-on tutorials rather than definitions
- you need authoritative academic definitions rather than practitioner explanations

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, large-language-models, education, tutorials
- platform: -
- tags: ai-coding, glossary, jargon-explainer, llm-literacy, plain-english, ai-agents, web-server, nodejs

## Member repositories
- mattpocock/dictionary-of-ai-coding (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:32.633630+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:23:49.721832+00:00, confidence not recorded.
  - readme: https://github.com/mattpocock/dictionary-of-ai-coding (fetched 2026-08-28T04:08:32.633630+00:00, sha 41ab1e5f97ee)
- Data as of 2026-08-30T08:39:29.467469+00:00.