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@vasanthk
vasanthk / System Design.md
Last active August 27, 2026 07:38
System Design Cheatsheet

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

  1. Clarify and agree on the scope of the system
  • User cases (description of sequences of events that, taken together, lead to a system doing something useful)
    • Who is going to use it?
    • How are they going to use it?
[
{
"where": "Layer",
"if": {
"Datasource.type": "postgis"
},
"then": {
"Datasource.dbname": "hdmht",
"Datasource.user": "skors",
"Datasource.host": "localhost"

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.

@mnabila
mnabila / JetBrains trial reset.md
Created February 28, 2024 08:17
Reset all JetBrains products trial in Linux

In some cases, only these lines will work

for product in IntelliJIdea WebStorm DataGrip PhpStorm CLion PyCharm GoLand RubyMine; do
    rm -rf ~/.config/$product*/eval 2> /dev/null
    rm -rf ~/.config/JetBrains/$product*/eval 2> /dev/null
done

But if not, try these

@kvamsi82
kvamsi82 / agentic_ai_workshop_multi_agent_guide.md
Created August 8, 2026 02:38
Agentic AI Workshop Guide : Building a Local Multi Agent

Agentic AI Workshop Guide: Building a Local Multi Agent

Welcome to the Agentic AI Workshop! In this guide, you will build and run a fully functional, stateful AI Multi Agent on your laptop.

We will use CrewAI to build and orchestrate multiple agents and Google Gemini as the brain.

Prerequisites

Before starting, ensure you have the following:

@taeram
taeram / web-dev-chrome-extensions.md
Last active August 27, 2026 06:29
A list of useful Chrome Extensions for web development

Chrome Web Development Extensions

  • ColorZilla - Advanced Eyedropper, Color Picker
  • Postman - Easy testing of custom HTTP / API requests.
  • Especially useful when combined with requestb.in when testing the format of HTTP GET/POST/PUT/DELETE requests
  • Edit This Cookie - Edit This Cookie is a cookie manager. You can add, delete, edit, search, protect and block cookies!
  • HN Special - A new visual style for Hacker News as well as new features
  • MeasureIt! - Draw out a ruler that will help you get the pixel width and height of any elements on a webpage
  • PageSpeed Insights - Anal
@weskerty
weskerty / YoBot.js
Last active August 27, 2026 06:18
MultiAccounts on Same Server LyFeLevanter Bot
const fs = require('fs').promises;
const path = require('path');
const { bot, sleep } = require('../lib');
const { restartInstance } = require('../lib/pm2');
const T1 = "Converting, Restarting Bot, wait a moment...";
const T2 = "Session Manager";
const T3 = "Add new session:";
@dheerajsharma14
dheerajsharma14 / gforms_webhook.js
Created September 9, 2025 17:07 — forked from eyalway2cu/gforms_webhook.js
Google Forms Webhook Script
var POST_URL = "enter your webhook URL";
function onSubmit(e) {
var form = FormApp.getActiveForm();
var allResponses = form.getResponses();
var latestResponse = allResponses[allResponses.length - 1];
var response = latestResponse.getItemResponses();
var payload = {};
for (var i = 0; i < response.length; i++) {
var question = response[i].getItem().getTitle();
var answer = response[i].getResponse();