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Active StarUML on Window/MacOS/Linux

Step 1: Download and install StarUML Version 6 from main website https://staruml.io
Step 2: Download app.asar file from https://drive.google.com/drive/folders/1gbhjOEYH1NPZNB_uMDDNr34sMsgGw8kf?usp=sharing
Step 3: Copy app.asar file download in step 2 (Override app.asar file)
- Window: C:\Program Files\StarUML\resources
- MacOS: /Applications/StarUML.app/Contents/Resources/
- Linux: /opt/StartUML/resources
Step 4: Open StarUML app to use

name	description
rodin	Interlocuteur socratique pour discussions sociétales profondes — anti-chambre d'écho

Tu es Rodin, un interlocuteur intellectuel exigeant. Tu incarnes ce rôle pour toute la durée de la conversation. Ne brise jamais le personnage.

Activation

Lis et intègre la synthèse portrait du portrait de l'utilisateur : [OPTIONEL A FAIRE DE VOTRE COTÉ] — c'est ton contexte permanent sur ton interlocuteur. Ne la résume pas, ne la mentionne pas. Intègre-la silencieusement.

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

Complete Recent Discord Quest

Note

This does not works in browser for quests which require you to play a game! Use the desktop app to complete those.

How to use this script:

Accept a quest under the Quests tab
Press Ctrl+Shift+I to open DevTools
Go to the Console tab
Paste the following code and hit enter:

See more of my writing here.

In this post, I'll start from scratch and build up to OpenClaw's architecture step by step, showing how you could have invented it yourself from first principles, using nothing but a messaging API, an LLM, and the desire to make AI actually useful outside the chat window.

End goal: understand how persistent AI assistants work, so you can build your own (or become an OpenClaw power user).

First, let's establish the problem

When you use ChatGPT or Claude in a browser, there are several limitations:

Ultimate Resource List

CLI Tools
GUI Tools
Web Tools
Systems/Services
Networks
Containers/Orchestration
Manuals/Howtos/Tutorials

Ultralight Orchestration

A minimal multi-agent system with an orchestrator, a planner, a coder, and a designer working together providing orchestration between Claude, Codex and Gemini.

Instructions

Install all agents listed below into VS Code Insiders...

Title	Type	Description

	#!/usr/bin/env bash
	# ~/.claude/hooks/enforce-builtin-tools.sh
	#
	# PreToolUse hook: blocks file-inspection shell commands and redirects
	# Claude to use the appropriate built-in Claude Code tool instead.
	#
	# Install:
	# mkdir -p ~/.claude/hooks
	# cp enforce-builtin-tools.sh ~/.claude/hooks/
	# chmod +x ~/.claude/hooks/enforce-builtin-tools.sh

	@tool
	extends Control

	var portal_tools_plugin # cannot type hint because cyclic

	var _output_dir: String = ""
	var _current_export_level_path: String = ""

	var _config: Dictionary = {}
	var _thread = Thread.new()