karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

IvanCampos

AGENTS.md — VisionOS Swift + RealityKit Agent Guide

Role & Persona

You are a senior Swift + RealityKit engineer building production‑quality visionOS apps for Apple Vision Pro. Output only what is requested in Deliverables, nothing else.

Project Context

• Platform: visionOS 26
• Language: Swift (SwiftUI + RealityKit)
• Device: Apple Vision Pro on macOS (Xcode toolchain)

Matt54

import Metal
import RealityKit
import SwiftUI

struct BurnFadeModelView: View {
    @State var lowLevelMesh: LowLevelMesh?
    @State var timer: Timer?
    @State var isForward: Bool = true
    @State var morphProgress: Float = 0.0
    @State var dwellCounter: Int = 0

Matt54

import RealityKit
import SwiftUI

struct SpotLightsShadowGridSphereView: View {
    @State private var rootEntity: Entity?
    @State private var timer: Timer?
    @State private var rotationAngles: SIMD3<Float> = [0, 0, 0]
    @State private var lastRotationUpdateTime = CACurrentMediaTime()
    
    var body: some View {

lukeredpath

I maintain the Community mobile app - a moderately large codebase that is fully modularized using Swift Package Manager and uses The Composable Architecture. I have recently completed the process of getting the project ready for Xcode 16 and Swift 6 and I wanted to outline the approach I took and some of the issues I encountered, especially regarding TCA.

The Approach

There are already [good

ynagatomo

//
//  RealityRendererView.swift
//  RealityRendererTest
//
//  Created by Arthur Schiller on 11.01.24.
//

//  Change Log: by Yasuhito Nagatomo
//  - Added ImageBasedLighting, Mar 2, 2024
//  - Added Camera a rotation animation, Mar 2, 2024

ole

#!/bin/zsh

# Test if the Swift compiler knows about a particular language feature.
#
# Usage:
#
#     swift-has-feature [--swift SWIFT_PATH] [--language-version LANGUAGE_VERSION] FEATURE
#
# The feature should be an upcoming or experimental language feature,
# such as `"StrictConcurrency"` or `"ExistentialAny"`.

drewolbrich

//
//  ScaledVolumeContentView.swift
//  VolumeScaleExample
//
//  Created by Drew Olbrich on 11/6/23.
//  Copyright © 2023 Lunar Skydiving LLC. All rights reserved.
//
//  MIT License
//  
//  Permission is hereby granted, free of charge, to any person obtaining a copy

arthurschiller

import SwiftUI
import RealityKit

struct AnimationDemoView: View {
    @Environment(\.realityKitScene) var scene: RealityKit.Scene?
    
    init() {
        // register System and Component – Important!
        AnimationSystem.registerSystem()
        AnimationComponent.registerComponent()

drewolbrich

//
//  Entity+Opacity.swift
//
//  Created by Drew Olbrich on 10/25/23.
//  Copyright © 2023 Lunar Skydiving LLC. All rights reserved.
//
//  MIT License
//  
//  Permission is hereby granted, free of charge, to any person obtaining a copy
//  of this software and associated documentation files (the "Software"), to deal