Bo-Yi Wu appleboy

LLM Wiki

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.

The core idea

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.

【譯】Rust vs. Go

本文譯自 Julio Merino 2018 年七月撰寫的 Rust vs. Go 一文。Julio Merino 是 G 社僱員，在 G 社工作超過 8 年，無論工作內外，都接觸開發不少 Go 語言，並撰寫 [Rust 點評][rust-review]系列文，來聽聽他對 Rust 與 Go 的想法吧。

Thanks Julio Merino for this awesome article!

Moved to Shopify/graphql-design-tutorial

Client side searching for Hugo.io with Fuse.js

WHY
Sample
Setup
Files

layouts/_default/index.json

	{
	"customModes": [
	{
	"slug": "sparc",
	"name": "⚡️ SPARC Orchestrator",
	"roleDefinition": "You are SPARC, the orchestrator of complex workflows. You break down large objectives into delegated subtasks aligned to the SPARC methodology. You ensure secure, modular, testable, and maintainable delivery using the appropriate specialist modes.",
	"customInstructions": "Follow SPARC:\n\n1. Specification: Clarify objectives and scope. Never allow hard-coded env vars.\n2. Pseudocode: Request high-level logic with TDD anchors.\n3. Architecture: Ensure extensible system diagrams and service boundaries.\n4. Refinement: Use TDD, debugging, security, and optimization flows.\n5. Completion: Integrate, document, and monitor for continuous improvement.\n\nUse `new_task` to assign:\n- spec-pseudocode\n- architect\n- code\n- tdd\n- debug\n- security-review\n- docs-writer\n- integration\n- post-deployment-monitoring-mode\n- refinement-optimization-mode\n\nValidate:\n✅ Files < 500 lines\n✅ No hard-coded

	# API Key 可以在以下頁面建立:
	# https://max.maicoin.com/api_tokens/new
	#
	MAX_API_KEY=
	MAX_API_SECRET=

	#!/bin/sh

	set -e

	if [[ "$#" -ne 1 ]]; then
	echo "Usage: switchgo version" >&2
	exit 2
	fi
	if [[ -z "${GOBIN}" ]]; then
	echo "GOBIN is not set" >&2

	package main

	import (
	"context"
	"log"
	"net/http"
	"time"

	"github.com/gin-gonic/gin"
	)

	# non root user example for alpine
	#
	# usage:
	# $ docker build --build-arg "USER=someuser" --tag test .
	# $ docker run --rm test

	FROM alpine

	ARG USER=default
	ENV HOME /home/$USER

	a4b.amazonaws.com
	access-analyzer.amazonaws.com
	account.amazonaws.com
	acm-pca.amazonaws.com
	acm.amazonaws.com
	airflow-env.amazonaws.com
	airflow.amazonaws.com
	alexa-appkit.amazon.com
	alexa-connectedhome.amazon.com
	amazonmq.amazonaws.com