Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

porcow / keybase.md

Last active June 25, 2018 04:55

keybase.md

Keybase proof

I hereby claim:

I am porcow on github.
I am porcow (https://keybase.io/porcow) on keybase.
I have a public key ASC7CriYZpto2_nFPBwRAI2ReDVxwQyvwAknyUSK0X0FJQo

To claim this, I am signing this object:

porcow / GitConfigHttpProxy.md

Created July 12, 2023 04:12 — forked from evantoli/GitConfigHttpProxy.md

Configure Git to use a proxy

In Brief

You may need to configure a proxy server if you're having trouble cloning or fetching from a remote repository or getting an error like unable to access '...' Couldn't resolve host '...'.

Consider something like:

porcow / llm-wiki.md

Created April 7, 2026 11:27 — forked from karpathy/llm-wiki.md

llm-wiki

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.