Discover gists
| FROM php_base:latest | |
| RUN apt update -y && apt upgrade -y | |
| WORKDIR /var/www/html | |
| RUN composer update --optimize-autoloader | |
| COPY src/. /var/www/html | |
| COPY build/php/.env.local /var/www/html/.env |
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pkg install zsh git lsd vim
Install Oh-My-Zsh
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.
This is a cheat sheet for how to perform various actions to ZSH, which can be tricky to find on the web as the syntax is not intuitive and it is generally not very well-documented.
| Description | Syntax |
|---|---|
| Get the length of a string | ${#VARNAME} |
| Get a single character | ${VARNAME[index]} |
⚠️ USE AT YOUR OWN RISK
Most parameters listed here are undocumented and unsupported by VMware/Broadcom.
Always back up your.vmxfile before editing. Test in non-production environments first.
Parameter availability depends on VMware product version, host OS, andvirtualHW.version.
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |