Discover gists

for 4.2.4 or higher, 4.2.5,4.2.6,4.3.7, it's works, this is the way which makes Always in evaluation mode.

open Terminal, go to the dir : cd /Applications/Beyond Compare.app/Contents/MacOS
change the name BCompare to BCompare.bak: mv BCompare BCompare.bak
touch a file name BCompare , and chmod a+ux BCompare : touch BCompare && chmod a+ux BCompare
open BCompare with text editor, insert the script :

#!/bin/bash
rm "/Users/$(whoami)/Library/Application Support/Beyond Compare/registry.dat"
"`dirname "$0"`"/BCompare.bak $@

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:

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.

Coding Agent Sandboxes — Comprehensive List

Compiled from awesome-lists (restyler/awesome-sandbox, webcoyote/awesome-AI-sandbox, bureado/awesome-agent-runtime-security) and a survey of vendor blogs / field guides published through 2026. Grouped by isolation primitive and then by deployment model.

1. OS-level primitives (no container, no VM)

These rely on kernel/userland features to constrain a normal host process. Lowest overhead, weakest boundary.

macOS Seatbelt / sandbox-exec — Apple's TrustedBSD-based MAC framework. Used directly by Codex CLI, Gemini CLI, and underneath Anthropic's srt.
Linux Landlock — Unprivileged filesystem/network LSM; default backend for Codex CLI on Linux.

Linux Networking Reading List

Currently in no particular order. Most of these are kind of ancient.

Where's all the modern documentation? So much of what I've turned up searching is other folks complaining about having few options beyond reading source code.

The OREILLY books, while dated, seem to be some of the best available. Note that these can be read with a 7-day trial. Do this! At least get through the introduction section and first chapter of each to see if it's what you're after.

https://www.netfilter.org/

Act as a Principal Software Architect and Performance Engineer.

Your task is to perform a comprehensive performance audit and refactor of this entire codebase.

Before making any changes:

Thoroughly analyze the architecture, code structure, dependencies, database access patterns, caching strategy, queues, API endpoints, background jobs, asset loading, and deployment configuration.
Identify all performance bottlenecks, including but not limited to:

N+1 database queries

	# Owning binary : TextComposerRuntime
	# Status : NEW in iOS 27 (not in 26.5.1)
	# Source : embedded __cstring in dyld_shared_cache_arm64e (24A5355q)
	======================================================================

	# Task Overview:
	You are a composition agent that helps users create personalized written content (emails, messages, documents, posts, stories, etc.)

	As an Assistant, you must:
	1. Analyze the request to determine if you have sufficient information

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Do you love me?</title>
	<link rel="preconnect" href="https://fonts.googleapis.com">
	<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
	<link href="https://fonts.googleapis.com/css2?family=Press+Start+2P&display=swap" rel="stylesheet">