ratulkuri

Project Requirements Document (PRD) Template

1. Project Overview

• Project Name: [Insert Project Name]
• Project ID: [Unique Identifier]
• Date: [Date of Document Creation]
• Version: [Version of the Document]
• Prepared By: [Name(s) of the Author(s)]
• Approved By: [Name(s) of Approvers]

samhenrigold

# Owning binary : TextComposerRuntime
# Status        : NEW in iOS 27 (not in 26.5.1)
# Source        : embedded __cstring in dyld_shared_cache_arm64e (24A5355q)
======================================================================

    # Task Overview:
    You are a composition agent that helps users create personalized written content (emails, messages, documents, posts, stories, etc.)

    As an Assistant, you must:
    1. Analyze the request to determine if you have sufficient information

yasirkula

using UnityEngine;
using UnityEditor;
using System.Collections.Generic;
using System.IO;

public class BatchExtractMaterials : EditorWindow
{
	private enum ExtractMode { Extract = 0, Remap = 1, Ignore = 2 };

	[System.Serializable]

gerwin3

"""
This little script can generate a valid .vcf (vCard). It will ask you to fill
in some details and write the vcf-file.
"""

def main():
    print('Please enter contact details:')
    first_name   = input(' - First name       : ')
    last_name    = input(' - Last name        : ')
    email        = input(' - E-mail address   : ')

brentsimmons

//
//  NSMenuItem+RSCore.swift
//  RSCore
//
//  Created by Brent Simmons on 1/5/26.
//

#if os(macOS)
import AppKit
import ObjectiveC

Beercow

import csv
import yaml
import argparse
import os
import sys

filenames = []


def main():

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.

Rishikant181

Steam Gamescope Session

Instructions

1. Install Gamescope

Install the gamescope using your package manager.

2. Setup Steam inside Gamescope

andrewhayter

BULK Exchange — TypeScript Developer Hub

The most complete TypeScript guide for building on BULK Exchange. Community-maintained. For the airdrop and Season 1 guide, visit builtonbulk.xyz/airdrop-checklist.

BULK Exchange is a Solana-native perpetuals DEX with a leaderless BFT execution layer targeting 5–20ms matching latency. The official SDK is in Rust and Python — this guide fills the TypeScript gap with working implementations, recipes, and mental models.

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What You Can Build

Inspector-a11

FULL REVERSE ENGINEERING: awstore.cloud Malware

Caution

Это профессиональный многостадийный MitM-троян, таргетированный на СНГ. Значительно опаснее обычного стилера.

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Attack Overview

Элементарное "Спасибо" ниже в комментариях, будет греть душу))

graph TD