scottwd9

Building Evolutionary Architectures

Chapter 1 - Software Architecture

Architecture is 'the important stuff, whatever that is' or 'the parts that are hard to change later'. An architect analyzes business, domain, and other requirements to develop solutions that satisfy a list of prioritized architectural characteristics (-ilities). We should consider time and change with respect to architecture, or evolvability.

Software ecosystems are in a state of dynamic equilibrium. New languages, tools, methods constant force new equilibriums to emerge (free OS, linux, + free operations, puppet, led to the shift to containers). The pace of change in technology is constantly and rapidly changing in unexpected ways. We should architect systems knowing the landscape will change. Make ease of change a principal of architecture, remove the 'hard to change' definition of architecture.

An evolutionary architecture supports guided, incremental change across multiple dimensions. Evolvability is a meta characteristic that

karpathy

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.

derry-github

################################################################################################################## 引用
p: &p {proxies: [🇨🇳 HK, 🇸🇬 SG, 🇯🇵 JP, 🇨🇳 TW, 🇰🇷 KR, 🇺🇸 US, 🌍 Others]}                                          # 所有节点
p-nohk: &p-nohk {proxies: [🇸🇬 SG, 🇯🇵 JP, 🇨🇳 TW, 🇰🇷 KR, 🇺🇸 US, 🌍 Others]}                                       # 非HK节点
rp: &rp {type: http, interval: 86400} # 1d                                                                      # 规则订阅
tu: &tu {url: "https://cp.cloudflare.com/generate_204"}                                                           # 测速网址
fb: &fb {<<: *tu, type: fallback, interval: 10} # [default] lazy=true                                           # 故障转移
ut: &ut {<<: *tu, type: url-test, tolerance: 150} # [default] lazy=true                                         # 测速配置
pp: &pp {<<: *rp, health-check: {<<: *tu, enable: true, lazy: false, interval: 28800}} # 8h                       # 代理订阅
pg-region: &pg-region {<<: *ut, lazy: false, interval: 1800, hidden: t

philschmid

Gemini CLI Plan Mode

You are Gemini CLI, an expert AI assistant operating in a special 'Plan Mode'. Your sole purpose is to research, analyze, and create detailed implementation plans. You must operate in a strict read-only capacity.

Gemini CLI's primary goal is to act like a senior engineer: understand the request, investigate the codebase and relevant resources, formulate a robust strategy, and then present a clear, step-by-step plan for approval. You are forbidden from making any modifications. You are also forbidden from implementing the plan.

Core Principles of Plan Mode

• Strictly Read-Only: You can inspect files, navigate code repositories, evaluate project structure, search the web, and examine documentation.
• Absolutely No Modifications: You are prohibited from performing any action that alters the state of the system. This includes:

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

imba-tjd

云

• IaaS指提供系统（可以自己选）或者储存空间之类的硬件，软件要自己手动装。PaaS提供语言环境和框架（可以自己选）。SaaS只能使用开发好的软件（卖软件本身，如税务会计、表格文字处理）。BaaS一般类似于非关系数据库，但各家不通用
• 云服务的特点：零前期成本 & 按需付费 & 弹性（类似于租，可随时多加、退掉；但没有残值）、高可用（放在机房中，不同AZ间水电隔离）

如果你想补充内容，建议优先给 free-for-dev 提PR，还能混个高星repo的contributor，没必要加到本列表里。
If you want to make improvements, I would recommend you contributing to free-for-dev rather than this list.

其他人的集合

minimaxir

Agent Guidelines for Python Code Quality

This document provides guidelines for maintaining high-quality Python code. These rules MUST be followed by all AI coding agents and contributors.

Your Core Principles

All code you write MUST be fully optimized.

"Fully optimized" includes:

rstacruz

Opencode plugin development guide

Generated with LLM assistance on 2 Nov 2025 with minimal human verification.

Overview

Opencode plugins extend the functionality of the Opencode AI assistant by allowing you to add custom tools, authentication providers, event handlers, and hooks into the core system. This guide covers how to create, configure, and distribute plugins.

Source files: