Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.
| # Facebook Graph API Example in Python | |
| # by James Thornton, http://jamesthornton.com | |
| # Facebook API Docs | |
| # https://developers.facebook.com/docs/graph-api/using-graph-api#reading | |
| # Get Your Facebook Access Token Here... | |
| # https://developers.facebook.com/tools/explorer/145634995501895/?method=GET&path=me | |
| # Before running this script... |
| #include <string_view> | |
| #include <string> | |
| #include <tuple> | |
| class Joint { | |
| std::string _j; | |
| auto& _concat(std::string& s, std::string_view sv) { return s += sv; } | |
| template<typename... Args> |
| #!/usr/bin/env bash | |
| INI_FILE=~/.aws/credentials | |
| while IFS=' = ' read key value | |
| do | |
| if [[ $key == \[*] ]]; then | |
| section=$key | |
| elif [[ $value ]] && [[ $section == '[default]' ]]; then | |
| if [[ $key == 'aws_access_key_id' ]]; then |
| #!/usr/bin/env python | |
| # Inspired by: https://www.youtube.com/watch?v=izG7qT0EpBw | |
| # The CRC values are verified using: https://crccalc.com/ | |
| def reflect_data(x, width): | |
| # See: https://stackoverflow.com/a/20918545 | |
| if width == 8: | |
| x = ((x & 0x55) << 1) | ((x & 0xAA) >> 1) | |
| x = ((x & 0x33) << 2) | ((x & 0xCC) >> 2) | |
| x = ((x & 0x0F) << 4) | ((x & 0xF0) >> 4) |
The FriendlyElec (NanoPC) CM3588 is a RK3588 based solution with 4/8/16GB LPDDR4x memory and 0/64GB eMMC flash storage. The inital carrier board released with the CM3588 features 4x M.2 NVMe SSD slots (PCIe 3.0 x1 each) and a 2.5gbps RJ45 port, making it an attractive option for a low powered silent NAS at $130/$145/$174 depending on which RAM configuration you purchase.
I ordered this in response to the LTT video. I have seen a few people struggling to configure these, and figured I would offer some basic guides in order to get those who need some assistance on getting their NAS up and going.
I will be using the precompiled Debian 12 installer found [here.](https://drive.google.com/drive/folders/1FoBbP_nPkMehwBj4wH
| # Make sure CPU is in performance mode (see notes in Gist comments). | |
| echo performance | sudo tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor | |
| # Install c2clat and gnuplot-nox | |
| sudo apt install -y gnuplot-nox | |
| git clone https://github.com/rigtorp/c2clat | |
| cd c2clat | |
| g++ -O3 -DNDEBUG c2clat.cpp -o c2clat -pthread | |
| # Set up the PNG dimension (set to 4096,2160 for 96+ CPU cores) |
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.
