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Created April 11, 2026 12:04
A practical LLM wiki pattern for vibe-coded apps: a codebase-integrated memory layer that helps AI builders reduce context drift, keep docs aligned with code, and generate compressed knowledge views for builders, admins, support, reviewers, and QA.

KIOSK LLM Wiki

A practical LLM wiki pattern for vibe-coded apps, AI-built products, and high-trust software systems.

Inspired by Andrej Karpathy's original LLM Wiki.

This is a simpler, gist-native version of the KIOSK idea. It is designed to be copy-pasted into an AI coding agent like Lovable, Cursor, Claude Code, Codex, or similar. The goal is to communicate the concept clearly enough that the agent can build a primitive but useful version directly in your repo.

The original LLM wiki idea is about giving LLMs a persistent knowledge layer instead of making them rediscover everything through RAG every time. KIOSK keeps that idea, but adapts it for codebases, documentation-heavy products, AI-assisted development, and high-compliance software.