{
  "id": 16019677,
  "title": "How I Built a Real App with AI in 10 Days — And What Nobody Tells You",
  "url": "https://urgent.news/2026/10/22/how-i-built-a-real-app-with-ai-in-10-days-and-what-nobody-tells-you",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-22T08:46:11.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/makan_mm_8b267b5dea4a7680/how-i-built-a-real-app-with-ai-in-10-days-and-what-nobody-tells-you-5c5h"
  },
  "original_language": "en",
  "account": "MAKAN Translate was born from a need to help a friend study Linux using translated Udemy subtitles. The software began as a simple interface connecting to a translation API, but it quickly became clear that this approach had limitations. The first major experiment took place in Google AI Studio, where an impressive-looking application was generated with just a few clicks. However, the underlying product proved to be unreliable, and the same issue appeared in subsequent experiments with ChatGPT/Codex and Claude Code. The author highlighted the importance of task decomposition and validation in the development process, emphasizing that increasingly elaborate prompts or the selection of a single coding assistant did not solve the core problems. The project ultimately involved a division of research, review, coding, and manual verification across different tools, revealing the engineering lessons behind a free multilingual application.",
  "summary": "I Built MAKAN Translate with AI. The Hardest Part Wasn't Writing Code. Subtitle: Four development approaches, dozens of model experiments, one abandoned game translator, and the engineering lessons behind a free multilingual application. Makan · Founder, MAKAN LAB · October 2026 Type: Independent engineering case study / reflective technical report Project: https://makanlab.tech/translate/ ·…",
  "key_points": [
    "MAKAN Translate started as a simple interface for translating Udemy subtitles",
    "Experiments with AI tools like ChatGPT/Codex and Claude Code proved unreliable",
    "Project involved research, review, coding, and manual verification across tools"
  ],
  "editors_take": "Relying on a single coding assistant creates unreliable products, forcing developers to adopt rigorous task decomposition and manual verification to turn automated code into functional software.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}