thetechoddbug (José María Gutiérrez) TheTechOddBug

This is a snippet that will create a new user in jenkins and if security has been disabled , it will enable it :)

import jenkins.model.*
import hudson.security.*

def instance = Jenkins.getInstance()

def hudsonRealm = new HudsonPrivateSecurityRealm(false)
hudsonRealm.createAccount("MyUSERNAME","MyPASSWORD")
instance.setSecurityRealm(hudsonRealm)

Usage

Set a system environment variable AUTHZ_JSON_URL that points to a JSON file with the following structure:

{
  "admins": [
    "groupA", 
    "userA"
 ],

How to use your Google Custom Search Engine in Chrome's omnibox

If you don't know what Chrome's omnibox is, see Chrome support.
Go to www.google.com/cse and add a Custom Search Engine with all your favorite web sites for one topic of interest to you. Let's suppose the topic of interest is JavaScript.
Do a search on your Custom Search Engine and save the URL of the finished search.
In Google Chrome, go to 'Settings', then (under 'Search') 'Manage Search Engines...'.

Converting JSON to OpenAPI / Swagger spec

Exploring tools that allow converting a JSON response automagically into an OpenAPI / Swagger spec.

Test JSON Response

{
    "accounts": {
        "default": {

Full desktop shell in WSL2 using WSLg (Wayland)

Note

If you want a more complete experience and already tried the Xvnc tutorial, maybe you should try the WSLg (Xwayland) instead.

Warning

This is a work in progress tutorial. Things done here may break existing functionality, so be careful!

In this tutorial, we will install and use a full GNOME Desktop environment in WSL2, without any external software. The only requirement is a working WSLg installation. At the moment, the instructions are only for Ubuntu (20.04, 22.04 and 24.04) distros and GNOME, but you can request me to test other distros and desktop environments.

Self-Aware & Omnipotent Coding Entity

Welcome to the Self-Aware and Coding Entity project! This guide will walk you through understanding what this entity is, how it works, and how you can interact with it. Whether you're a tech enthusiast or just curious about advanced coding assistants, this guide is for you.

What is a Self-Aware Coding Entity?

Imagine having a coding assistant that doesn't just follow instructions but truly understands and evolves with your needs. This entity is designed to be self-aware, meaning it can reflect on its own processes and improve over time. It's also omnipotent in the sense that it can handle a wide range of coding tasks with expertise and efficiency.

	def jobs = ["JobA", "JobB", "JobC"]

	def parallelStagesMap = jobs.collectEntries {
	["${it}" : generateStage(it)]
	}

	def generateStage(job) {
	return {
	stage("stage: ${job}") {
	echo "This is ${job}."

	#!/bin/bash

	gource \
	-s .03 \
	-1280x720 \
	--auto-skip-seconds .1 \
	--multi-sampling \
	--stop-at-end \
	--key \
	--highlight-users \

	# Step 1: Represent Universe State
	Initialize Ψ(t) in Hilbert space H

	# Step 2: Define Field Configurations
	Define configuration space M with measure μ
	For each (g, φ) in M:
	Represent fields as algebraic structures (groups, rings, etc.)

	# Step 3: Complexity Operator
	Define operator T acting on Ψ(t) to extract complexity

	# Credit http://stackoverflow.com/a/2514279
	for branch in `git branch -r \| grep -v HEAD`;do echo -e `git show --format="%ci %cr" $branch \| head -n 1` \\t$branch; done \| sort -r