My smartest friends have bananas arguments about LLM coding.

Retrieval-Augmented Generation (RAG) systems like Kapa rely on your documentation to provide accurate, helpful information. When documentation serves both humans and machines well, it creates a self-reinforcing loop of content quality: clear documentation improves AI answers, and those answers help surface gaps that further improve the docs.

This guide provides best practices for creating documentation that works effectively for both human readers and AI/LLM consumption in RAG systems. Many best practices benefit both simultaneously, often in complementary ways.

The HTTP Response Status Cats provide a cute way to remind yourself what each HTTP status code means.

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Understand how to (and how not to) use any tool you choose.

I have been stuck. Every time I sit down to write a blog post, code a feature, or start a project, I come to the same realization: in the context of AI, what I’m doing is a waste of time. It’s horrifying. The fun has been sucked out of the process... | Dustin Curtis | Designer, hacker, investor, nomad. Founder of Svbtle.

I enjoy shocking people by telling them I don’t use LLMs.This isn’t true, but it’s morally true for the reference class I’m in (people who wrote a book about...

The features list is fantastic.

Karakeep (previously Hoarder) is an open source "Bookmark Everything" app that uses AI for automatically tagging the content you throw at it. The app is built with self-hosting as a first class citizen.

Support for ollama is included.

Download the 2024 Environmental Report. This report charts our progress and methodology, and shares knowledge and insights for others.

AI could make our human interactions blander, more biased, or ruder.

A good, quick, interesting read.

✨ Build AI interfaces that spark joy.