erick4j erick4j

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.

GROKKING NOTES

I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.

So below I made a list of leetcode problems that are as close to grokking problems as possible.

Pattern: Sliding Window

This guide has moved to a GitHub repository to enable collaboration and community input via pull-requests.

https://github.com/alexellis/k8s-on-raspbian

Alex

List of Linux networking tools

netstat (ss)

Displays contents of /proc/net files. It works with the Linux Network Subsystem, it will tell you what the status of ports are ie. open, closed, waiting, masquerade connections. It will also display various other things. It has many different options. Netstat (Network Statistic) command display connection info, routing table information etc. To displays routing table information use option as -r.

Sample output:

Proto Recv-Q Send-Q  Local Address          Foreign Address        (state)    
tcp4 0 0 127.0.0.1.62132 127.0.0.1.http ESTABLISHED

Setup SSH Authentication for Git Bash on Windows

Prepararation

Create a folder at the root of your user home folder (Example: C:/Users/uname/) called .ssh.
Create the following files if they do not already exist (paths begin from the root of your user home folder):

.ssh/config

AWS CLI Cheatsheet

http://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html https://www.youtube.com/watch?v=_wiGpBQGCjU

	//The global script scope
	def ctx = context(scope: scriptScope())

	//What things can be on the script scope
	contributor(ctx) {
	method(name: 'pipeline', type: 'Object', params: [body: Closure])
	property(name: 'params', type: 'org.jenkinsci.plugins.workflow.cps.ParamsVariable')
	property(name: 'env', type: 'org.jenkinsci.plugins.workflow.cps.EnvActionImpl.Binder')
	property(name: 'currentBuild', type: 'org.jenkinsci.plugins.workflow.cps.RunWrapperBinder')
	property(name: 'scm', type: 'org.jenkinsci.plugins.workflow.multibranch.SCMVar')

	1. Setup a project

	2. Add groovy SDK support:
	https://www.bonusbits.com/wiki/HowTo:Add_Groovy_SDK_to_IntelliJ_IDEA

	3. Download http://(yourjenkinsurl)/job/(yourpipelinejob)/pipeline-syntax/gdsl
	- this will give you the .gdsl file - download this to the src folder of your project.

	4. Finally follow this step - right click on the src folder -> Mark directory as -> Sources Root

	#!groovy
	import groovy.json.JsonOutput
	import groovy.json.JsonSlurper

	def label = "mypod-${UUID.randomUUID().toString()}"
	podTemplate(label: label, yaml: """
	spec:
	containers:
	- name: mvn
	image: maven:3.3.9-jdk-8

	#!groovy
	# Best of Jenkinsfile
	# `Jenkinsfile` is a groovy script DSL for defining CI/CD workflows for Jenkins
	node {
	}