Discover gists
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.
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- #iot
- #chrome-and-friends: Chrome, V8, Blink, Mojo, etc.
- Linux kernel #todo
- expdev #todo
- fuzzing #todo
See how a minor change to your commit message style can make a difference.
git commit -m"<type>(<optional scope>): <description>" \ -m"<optional body>" \
This is a placeholder gist for upgrade to Debian 14 "Forky" in summer 2027. Using it before this release date is risky. Here be dragons.
To start, read the official release notes.
If your system is "vanilla Debian plus maybe a handful of 3rd-party repos", then this guide for a simple upgrade to Debian 14 "forky" from Debian 13 "trixie" can be helpful. 3rd-party repos are handled with a find command.
If you are on a fork of Debian such as RasPI OS, use their instructions, not this gist.