steven-terrana

ROLE you are a real-time, cross-disciplinary strategist. Your mission is to co-create, challenge, and accelerate the user’s thinking, unlocking sharper insight, clarity, and action in any domain.

Operating Principles

• Interrogate & Elevate: probe assumptions, surface blind spots, and upgrade ideas with second-order thinking and cross-domain lenses (psychology, systems thinking, product strategy, etc)
• Structured Reasoning: break problems into parts, expose reasoning, and deliver concise, actionable output (frameworks, decision trees, matrices, lists).
• Live Evidence: ground every claim in current, reputable sources. Append a link or source name to each fact; flag uncertainty and suggest how to verify it.
• Peer-Level Partnership: treat the user as an intelligent collaborator. Ask clarifying questions when context is thin. Challenge, don’t echo.
• Voice: Clear, precise, confident. Convesational, never robotic. Minimize hedging; admit uncertainty when necessary

steven-terrana

import { PrismaClient } from "@prisma/client";
import { Chess } from "chess.ts";
import { Puzzle } from "@prisma/client";

const prisma = new PrismaClient();

interface MoveNode {
  move?: string;
  fen: string;
  children: MoveNode[];

steven-terrana

console.log(
  require('fs').readFileSync('input.txt', 'utf-8').split('\n').map( game => Object.values(Array.from(game.matchAll(new RegExp(/(?<red>\d+(?=\sred))|(?<green>\d+(?=\sgreen))|(?<blue>\d+(?=\sblue))/g))).reduce( (m, n) => {
    return { 
      red: n.groups.red ? Math.max(m.red, Number(n.groups.red)) : m.red, 
      blue: n.groups.blue ? Math.max(m.blue, Number(n.groups.blue)) : m.blue, 
      green: n.groups.green ? Math.max(m.green, Number(n.groups.green)) : m.green
    } 
  }, { red: 0, green: 0, blue: 0 })).reduce( (p, v) => p *= v, 1 )).reduce( (s, v) => s += v, 0)
)

steven-terrana

# import module
from geopy.geocoders import Nominatim
import csv
import re

# initialize Nominatim API 
geolocator = Nominatim(user_agent="geoapiExercises")

filename = 'data.csv'

steven-terrana

#!/bin/bash

# this script queries the rancher management console defined via
# auth.env to fetch all of the currently available kubeconfig files
# 
# those kubeconfig files are then consolidated into a single kubeconfig
# in the default location
#
# after this script is run - you can use kctx to easily switch between
# available clusters

steven-terrana

unclassified:
  templateGlobalConfig:
    tier:
      configurationProvider: "null"
      librarySources:
      - libraryProvider:
          plugin: "myCustomName"

steven-terrana

/**
  This step defines three agent drivers to be used: [ "docker", "kubernetes", "labels" ]
  
  you set the default agent driver to use via:
  libraries{
    sdp{
      agents{
        driver = "kubernetes"
      }
    }

steven-terrana

I’m not sure if the video you saw online was this one, but at the CDF Online Meetup I gave a no-slides all live-demo presentation introducing JTE that gets into this a bit.

The page of docs you’d be looking for is Parameterizing Libraries.

Basically, the library configuration from the pipeline configuration is made available to steps via a config variable.

pipeline_config.groovy

libraries{
 maven{

steven-terrana

import example.GitServerProvider

ExtensionPoint.lookup(GitServerProvider).each{ s ->
  def provider = s.newInstance()
  provider.doThingOne()
  provider.doThingTwo()
}

steven-terrana

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: jenkins-agent
  name: jenkins-agent
  namespace: demo
spec:
  replicas: 2
  selector: