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Detailed Briefing: Software Project Estimation Challenges

This briefing document synthesizes key themes and crucial insights from the provided sources regarding the notorious difficulty of software project estimation. It highlights why accurate forecasting is so challenging, common pitfalls, and strategies to improve the process.

I. Core Problem: Software Development as Discovery, Not Manufacturing

A central theme across the sources is the fundamental difference between software development and more traditional, predictable fields like construction or manufacturing. This distinction is the root cause of estimation difficulties.

• Software is a Design Process: "Software development is, fundamentally, a design process." (r/programming) Unlike building a plane, where the design is largely finalized before construction, writing code is more akin to designing the airplane itself.
• Act of Discovery and Invention: "Software development is -- by definition -- an act of discovery and invent

rafaelquintanilha

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Bash",
        "hooks": [
          {
            "type": "command",
            "command": "jq -r '\"\\(.tool_input.command) - \\(.tool_input.description // \"No description\")\"' >> ~/.claude/bash-command-log.txt"
          }

rafaelquintanilha

FROM n8nio/n8n:latest

USER root

# Install Chromium and all required dependencies for Alpine
RUN apk update && apk add --no-cache \
    chromium \
    chromium-chromedriver \
    nss \
    freetype \

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services:
  caddy:
    image: caddy:2
    restart: always
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./caddy/Caddyfile:/etc/caddy/Caddyfile
      - caddy_data:/data

rafaelquintanilha

import numpy as np
import matplotlib.pyplot as plt

# Set seed for reproducibility
np.random.seed(42)

# Configuration (Balanced Parameters)
n_periods = 100      # Trading days
mu = 0.001           # Daily drift (0.1%)
noise_std = 0.0005   # Daily volatility (0.05%)

rafaelquintanilha

import os
import re
import time
from typing import List, Literal

import dotenv
from bs4 import BeautifulSoup
from google import genai
from google.genai import types
from playwright.sync_api import sync_playwright

rafaelquintanilha

# Video: https://www.youtube.com/watch?v=PRkVIBqC-is
import time

import pandas as pd
from bs4 import BeautifulSoup
from playwright.sync_api import sync_playwright

from quantbrasil.models.asset import get_ticker_map
from quantbrasil.models.portfolio import add_assets, create, remove_all

rafaelquintanilha

function merge(arr1, arr2) {
	var result = []; // Array where elements will be added
	var i1 = 0; // Index for arr1
	var i2 = 0; // Index for arr2

	// Iterate over arrays until reach the end of one of them
	while ( i1 < arr1.length && i2 < arr2.length ) {
		arr1[i1] < arr2[i2] ? result.push(arr1[i1++]) : result.push(arr2[i2++]) // Push the smallest and increment
	}