Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI coding jargon, explained in plain English.
| Date | Stars |
|---|---|
| 2026-08-03 | 3373 |
| 2026-08-13 | 3656 |
| 2026-08-18 | 3796 |
| 2026-08-19 | 3819 |
| 2026-08-20 | 3851 |
| 2026-08-21 | 3896 |
| 2026-08-22 | 3924 |
| 2026-08-23 | 3946 |
| 2026-08-24 | 3965 |
| 2026-08-25 | 3990 |
| 2026-08-26 | 4022 |
| 2026-08-27 | 4038 |
| 2026-08-28 | 4063 |
| 2026-08-29 | 4082 |
| 2026-08-30 | 4098 |
| 2026-08-31 | 4117 |
| 2026-09-01 | 4142 |
| 2026-09-02 | 4164 |
| 2026-09-03 | 4188 |
| 2026-09-04 | 4210 |
| 2026-09-05 | 4229 |
| 2026-09-06 | 4251 |
| 2026-09-07 | 4269 |
| 2026-09-08 | 4284 |
| 2026-09-09 | 4305 |
| 2026-09-10 | 4315 |
| 2026-09-11 | 4323 |
| 2026-09-12 | 4363 |
| 2026-09-13 | 4551 |
| 2026-09-14 | 4599 |
| 2026-09-15 | 4619 |
| 2026-09-16 | 4642 |
| 2026-09-17 | 4659 |
| 2026-09-18 | 4670 |
| 2026-09-19 | 4681 |
| 2026-09-20 | 4701 |
| 2026-09-21 | 4718 |
| 2026-09-22 | 4730 |
| 2026-09-23 | 4734 |
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| 2026-09-26 | 4835 |
| 2026-09-27 | 4845 |
| 2026-09-28 | 4865 |
| 2026-09-29 | 4878 |
| 2026-09-30 | 4890 |
| 2026-10-01 | 4902 |
| 2026-10-02 | 4922 |
| 2026-10-03 | 4932 |
| 2026-10-04 | 4938 |
| 2026-10-05 | 4944 |
| 2026-10-06 | 4959 |
| 2026-10-07 | 4974 |
| 2026-10-08 | 4988 |
| 2026-10-09 | 5013 |
| 2026-10-10 | 5022 |
| 2026-10-11 | 5028 |
| 2026-10-12 | 5043 |
| 2026-10-13 | 5062 |
| 2026-10-14 | 5088 |
| 2026-10-15 | 5105 |
| 2026-10-16 | 5123 |
| 2026-10-17 | 5137 |
| 2026-10-18 | 5153 |
| 2026-10-19 | 5169 |
| 2026-10-20 | 5186 |
| 2026-10-21 | 5199 |
| 2026-10-22 | 5216 |
| 2026-10-23 | 5234 |
| 2026-10-24 | 5242 |
| 2026-10-25 | 5260 |
| 2026-10-26 | 5280 |
| 2026-10-27 | 5287 |
| 2026-10-28 | 5296 |
| 2026-10-29 | 5309 |
| 2026-10-30 | 5318 |
| 2026-10-31 | 5324 |
| 2026-11-01 | 5333 |
| 2026-11-02 | 5341 |
| 2026-11-03 | 5354 |
| 2026-11-04 | 5358 |
Today
+4 stars today
This week
+62 stars this week
This month
+414 stars this month
Momentum
63.0
growth rate 1.17%/day
<!--
GENERATED FILE — DO NOT EDIT.
Source: dictionary/*.md, internal/Curriculum.md, internal/README.template.md
Regenerate: npm run generate
-->
<p>
<a href="https://www.aihero.dev/ai-coding-dictionary">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://res.cloudinary.com/total-typescript/image/upload/v1777878285/dictionary-dark_2x.png">
<source media="(prefers-color-scheme: light)" srcset="https://res.cloudinary.com/total-typescript/image/upload/v1777878285/dictionary-light_2x.png">
<img alt="AI Coding Dictionary" src="https://res.cloudinary.com/total-typescript/image/upload/v1777878285/dictionary-light_2x.png" width="369">
</picture>
</a>
</p>
# AI Coding Dictionary
**AI coding can feel like it's just for experts**. Unexplained jargon. Mysterious failures. Bills that don't seem to match the work.
It isn't, really. A lot of the confusion is manufactured: **there's a whole VC-funded economy that benefits from keeping it hard to understand**.
The basic terms of engagement are learnable in an afternoon. Once you have them, the whole thing stops feeling like guesswork.
Why does context degrade? Why is the bill so high? Why does the same prompt behave differently from one day to the next?
Each has a clean answer, once someone tells you the words to use.
That's what this dictionary is for. **The vocabulary of AI coding, translated into plain English**.
**Want more than the vocabulary?** Join 62,000+ developers at **[aihero.dev/newsletter](https://www.aihero.dev/s/dictionary-newsletter)** for my latest skills, thinking on AI engineering, and the resources that'll keep you ahead of the curve.
---
## Table of contents
<details>
<summary>Section 1 — The Model</summary>
- [AI](#ai)
- [Model](#model)
- [Parameters](#parameters)
- [Training](#training)
- [Inference](#inference)
- [Effort](#effort)
- [Token](#token)
- [Next-token prediction](#next-token-prediction)
- [Non-determinism](#non-determinism)
- [Model provider](#model-provider)
- [Harness](#harness)
- [Model provider request](#model-provider-request)
- [Input tokens](#input-tokens)
- [Output tokens](#output-tokens)
- [Prefix cache](#prefix-cache)
- [Cache tokens](#cache-tokens)
</details>
<details>
<summary>Section 2 — Sessions, Context Windows & Turns</summary>
- [Stateless](#stateless)
- [Context](#context)
- [Context window](#context-window)
- [Stateful](#stateful)
- [Agent](#agent)
- [System prompt](#system-prompt)
- [Session](#session)
- [Turn](#turn)
</details>
<details>
<summary>Section 3 — Tools & Environment</summary>
- [Environment](#environment)
- [Filesystem](#filesystem)
- [Tool](#tool)
- [Tool call](#tool-call)
- [Tool result](#tool-result)
- [MCP](#mcp)
- [Permission request](#permission-request)
- [Permission mode](#permission-mode)
- [Agent mode](#agent-mode)
- [Sandbox](#sandbox)
</details>
<details>
<summary>Section 4 — Failure Modes</summary>
- [Sycophancy](#sycophancy)
- [Hallucination](#hallucination)
- [Parametric knowledge](#parametric-knowledge)
- [Knowledge cutoff](#knowledge-cutoff)
- [Contextual knowledge](#contextual-knowledge)
- [Attention relationship](#attention-relationship)
- [Attention budget](#attention-budget)
- [Attention degradation](#attention-degradation)
- [Smart zone](#smart-zone)
</details>
<details>
<summary>Section 5 — Handoffs</summary>
- [Clearing](#clearing)
- [Handoff](#handoff)
- [Primary source](#primary-source)
- [Secondary source](#secondary-source)
- [Handoff artifact](#handoff-artifact)
- [Spec](#spec)
- [Ticket](#ticket)
- [Compaction](#compaction)
- [Autocompact](#autocompact)
</details>
<details>
<summary>Section 6 — Memory and Steering</summary>
- [Memory system](#memory-system)
- [AGENTS.md](#agentsmd)
- [Progressive disclosure](#progressive-disclosure)
- [Context pointer](#context-pointer)
- [Skill](#skill)
- [Subagent](#subagent)
</details>
<details>
<summary>Section 7 — Patterns of Work</summary>
- [Human-in-the-loop](#human-in-thExcerpt of 137,495 characters
Read on GitHub
Matt Pocock · Total TypeScript
48
Vojta Holik · @badass-courses @skillrecordings @eggheadio
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:800cb07025625092, llm:repository description: 'AI coding jargon, explained in plain English.' (TypeScript)
matched fp:800cb07025625092, llm:repository description: 'AI coding jargon, explained in plain English.' (TypeScript)