| name | explain-diff-html |
|---|---|
| description | Use when the user asks for a rich explanation of a code change, diff, branch, or PR. Produces HTML output. |
Please make me a rich, interactive explanation of the specified code change.
It should have these sections:
Here's a guide for setting up mixed eGPUs via USB4/Thunderbolt on a Strix Halo (AMD Ryzen AI Max+ 395) machine. This guide assumes CachyOS is used (an Arch Linux derivative) with the Limine bootloader. I did not test this with a desktop manager installed, nor did I attempt to use the video ports on the eGPUs. My use case was to use this machine as an LLM server.
Hardware:
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.
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.
Total setup time: 3–5 hours (including downloads and testing)
Defaults: HEVC @ 60–70 Mbps (stable for Q80T). AV1 optional to test later (50–60 Mbps).
This guide is event-driven only (Task Scheduler + Vibepollo Commands).
No always-running “watcher” script; everything reacts to real events.