Myndex

What's Up With Markdown

GitHub Flavored Markdown Cheat Sheet

This serves as a quick reference and showcase of GitHub Flavored Markdown. For more complete info, see John Gruber's original spec and the Github-flavored Markdown info page.

Table of Contents

paulfranco

Interview Questions

MongoDB

Q1: Explain what is MongoDB? ☆

Answer: MongoDB is an open-source document database that provides high performance, high availability, and automatic scaling. It's Key Features are:

• Document Oriented and NoSQL database.

Shrutiind02

Feature	Manual Trend Analysis	DeeVid Viral Studio
Hook breakdown	Done manually	AI-generated
Scene structure	Time-consuming	Automatically analyzed
Visual style notes	Requires experience	Extracted by AI
Prompt creation	Manual	AI-assisted
Customization	Fully manual	Characters, products, locations, backgrounds, clothing, and more
Best for	Experienced creators	Creators, brands, agencies, and beginners

adarshTS

Test Companion Demo Workflow

• Step 1 - Test Case Generation

Generate 5 functinal Test cases for the url https://medistack.vercel.app/. Atleast one test case should be for appointment confirmation workflow. Once the test cases are generated, add them to the Test Case repository. Use test.automation@medistack.com and password as testingisfun99 for exploring the application

• Step 2 - Create a new Project MediStack E2E Tests and add a folder inside the project in BrowserStack TM and add the test cases created.

karpathy

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.

VooDisss

Running Qwen3 Models with llama-server (Embedding + Reranking + Chat)

A practical guide to running multiple Qwen3 models through a single llama-server instance using model routing. Covers embedding, reranking, and chat/vision models.

Tested on Windows with RTX 3090 (24GB VRAM), llama-server build from llama.cpp master branch. Last updated: 2025-03-09.

---

What you get

nolanlawson

name	code-review-turbo
description	Run a triple-agent code review on the current branch's PR. Waits for Cursor Bugbot, runs a Claude sub-agent and Codex in parallel, then cross-references all findings to filter out hallucinations. Use when you want a thorough, multi-perspective code review before merging.
metadata	disable-model-invocation argument-hint true [pr-number]
allowed-tools	Bash(gh:*) Bash(codex:*) Bash(cat:*) Bash(tee:*) Bash(sleep:*) Agent Read Grep Glob Write(/tmp/*)

Code Review Turbo

tdcosta100

Full desktop shell in WSL2 using WSLg (XWayland)

Note

If you want to use Wayland in WSLg in a simpler setup, you can try the WSLg (Wayland) tutorial.

In this tutorial, we will setup GUI in WSL2. No additional software outside WSL (like VcXsrv or GWSL) is required. You will find this tutorial very similar to the one that replaces Xorg with Xvnc. Indeed, it's pretty much the same tutorial, with some few changes.

The key component we need to install is the desktop metapackage you want (GNOME, KDE, Xfce, Budgie, etc), and after that, replace the default Xorg by a script that calls Xwayland instead.

For this setup, I will use Ubuntu 24.04, and install GNOME Desktop. Unfortunately older versions of Ubuntu lack some fundamental things, so we cannot reproduce it in older versions (at least not fully). Since the key components aren't bound to Ubuntu or GNOME, you can use your favorite distro and GUI. Check the [Sample screenshot

quacksire

routes": {
                "activityDecorateLive": {
                    "host": "https://uts-api.itunes.apple.com/",
                    "needsLocation": true,
                    "needsMescal": false,
                    "path": "/uts/v2/activity/decorate/live",
                    "requiredParamsType": "Default",
                    "url": "https://uts-api.itunes.apple.com/uts/v2/activity/decorate/live"
                },
                "activityDecorateLiveEbs": {