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jcoding09 / save-work-function.js
Created March 27, 2024 03:37 — forked from dfkaye/save-work-function.js
Saving your console work in the browser, using one of two approaches.
// 22 July 2022
// Save() function for saving your console script experiments.
// See the long explanation on this gist at
// https://gist.github.com/dfkaye/d3c7d0d59cb03616ad2eee8eec1141a5#file-save-your-console-work-js
// Save() takes an array of script functions and fragments,
// and prints them as a single text block to the console,
// and attempts to download the text block to your browser's
// downloads folder.
@jcoding09
jcoding09 / script.js
Created June 10, 2024 09:05
Phone Directory
/*
## Requirements:
- It has three fields Name, Mobile and Email. All 3 are required fields.
- Clicking on the Add Contact button should add the contact to the table.
- Before adding a contact, the following validations should occur:
- Name - Should contain only Alphabets and Space. Should be less than or equal to 20 characters in length.
- Mobile - Should contain only Numbers.Should be equal to 10 characters in length.
- Email
@jcoding09
jcoding09 / config.yml
Last active June 11, 2024 07:08
Television link
name: Update M3U8 Playlist
on:
schedule:
- cron: '0 */2 * * *'
workflow_dispatch:
jobs:
update-playlist:
runs-on: ubuntu-latest
sudo apt-get install software-properties-common
sudo add-apt-repository ppa:team-xbmc/ppa
sudo apt-get update
sudo apt-get install kodi
top
sudo pill -9 kodi.bin
sudo pkill -9 kodi.bin
sudo apt-get install kodi-pvr-iptvsimple
body {
font-family: "Geist_mono", monospace;
}
h1,
h2,
h3,
h4,
h5,
@jcoding09
jcoding09 / Reactjsnodejango.txt
Created November 10, 2024 03:17
Front end learning resources
- Code with Stein -> Django + Vue
- Tech with Tim, CodingEntrepreneurs, Dennis Ivy -> Django + React
- Very Academy -> Django + Next.js or Django + React (the best on Youtube when it comes to Django in my opinion)
There is also Mosh Hamedani who released a series on Django including Django DRF.
He goes much more in-depth than Maximilian (caching with Redis and background tasks with Celery + advanced ORM techniques). I highly recommend it!
@jcoding09
jcoding09 / amazon.md
Created March 29, 2025 13:58 — forked from terabyte/amazon.md
Amazon's Build System

Prologue

I wrote this answer on stackexchange, here: https://stackoverflow.com/posts/12597919/

It was wrongly deleted for containing "proprietary information" years later. I think that's bullshit so I am posting it here. Come at me.

The Question

Amazon is a SOA system with 100s of services (or so says Amazon Chief Technology Officer Werner Vogels). How do they handle build and release?

Location
https://jwl-7.github.io/leetcode-cheatsheet/#array-two-pointers-one-input
https://github.com/bhavul/System-Design-Cheatsheet
https://bhavul.github.io/System-Design-Cheatsheet/
https://github.com/avgspacelover/Reddit-wiki-programming
https://github.com/seanprashad/leetcode-patterns
https://seanprashad.com/leetcode-patterns/
https://github.com/jcoding09?tab=repositories
https://github.com/karanpratapsingh/system-design
@jcoding09
jcoding09 / llm-wiki.md
Created April 4, 2026 17:52 — forked from karpathy/llm-wiki.md
llm-wiki

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.

Provide a highly detailed breakdown using this exact structure:

  1. THE CORE THESIS: In 2-3 sentences, what is the main purpose or argument of this video?
  2. CRITICAL TAKEAWAYS & INSIGHTS: What are the top 5-7 most important concepts, frameworks, or insights shared? Explain the "why" behind each one.
  3. ACTIONABLE STEPS: Create a step-by-step checklist of things the viewer can actually implement or apply based on this video.
  4. CASE STUDIES & EXAMPLES: Detail any real-world stories, data, or examples the speaker used to prove their points.
  5. COUNTER-INTUITIVE IDEAS: Did the speaker mention anything that goes against common belief or wisdom?
  6. KEY QUOTES: Extract 3 of the most powerful or memorable quotes from the transcript with their context.

Do not summarize. Extract the deep knowledge so I don't miss anything important.