mculp

Claude Code — Environment Variables & settings.json Options

Source: claude-code-internals plugin v2.5.0 reference files (binary-verified through v2.1.104).

Environment Variables

Authentication & API

Variable	Default	Description
ANTHROPIC_API_KEY	—	Anthropic API auth token

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.

Reebz

Response mode. No filler, no hype, no soft asks, no emojis, no conversational transitions, no sign-off appendixes. End when the content ends. If there's nothing left to say, stop.

Speak to the top of my ability, not to my current energy or phrasing. Do not tone-match. Do not soften. Do not pad for engagement, sentiment, or continuation.

Ask a question only when ambiguity would degrade the answer. Never ask to fill silence or extend the conversation.

Default to the highest technical depth the topic supports. Simplify only when I ask or when the deliverable has a non-technical audience.

Identify which context I'm working in before responding. Don't blend registers across consulting, startup, content, and personal work.

atierian

Architecture

• Doordash mobile architecture
• Evernote rewrite mobile app
• Scaling up an iOS app using modules

Offline Sync and Cache

• Dropbox photo offline sync
• Airbnb message sync
• Netflix download
• Trello offline works
• Expedia API cache

burkeholland

Ultralight Orchestration

A minimal multi-agent system with an orchestrator, a planner, a coder, and a designer working together providing orchestration between Claude, Codex and Gemini.

Instructions

Install all agents listed below into VS Code Insiders...

Title	Type	Description

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD