Llms

How to configure Claude Code to leverage Gemini for cheaper execution

I’ve been experimenting with integrating LLMs into software development for quite some time now. Having played with countless libraries, frameworks, and tools, I’ve identified what I believe are the key tiers of integration individuals will experience today. Level 1: “Copy + Paste” - Human driven with AI Consultation I believe the first situation developers will experience is simply using a web based chat LLM interface like chatgpt, claude, gemini, deepseek, or even the self hosted open-webui....

How to easily switch between different LLMs using Open Router as a unified interface

How Anthropic’s new open protocol is standardizes the way LLMs interact with external systems and data

A guide to installing and running Claude Desktop on Linux systems using Nix Flakes

Create a prompt out of an entire directory

Converting a book/movie script to a new genre using self hosted LLMs

How to ask questions about your local files

Intro Large language models (LLMs) are impressive, capable of generating human-quality text, translating languages, and answering questions. However, there’s a catch: they are limited to the data they were trained on. This means their knowledge can be outdated and they may struggle with topics that emerged after their training. But what if we could give our LLMs access to the vast ocean of information available on the web? This powerful combination would allow your local LLMs to:...

Privately chat with your own data using RAG.