{
  "id": 5776885,
  "title": "AI Helps Us Build Faster. But Are We Building Better?",
  "url": "https://urgent.news/2026/09/05/ai-helps-us-build-faster-but-are-we-building-better",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-05T13:22:58.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/reevix/ai-helps-us-build-faster-but-are-we-building-better-3h58"
  },
  "original_language": "en",
  "account": "Artificial Intelligence has revolutionized software development, making it faster and more accessible than ever before. However, this rapid pace of building software may not necessarily lead to building better software. The key question that often goes unasked is whether we are creating more value with our code or simply generating more software.\n\nWhile AI tools can turn an idea into a working prototype in a matter of hours, the real challenge is deciding what is worth building. More code doesn't always translate to more progress. Developers are writing more code, experimenting with more ideas, and building more prototypes. However, the question remains: how many of these creations actually reach users, solve real problems, or generate revenue?\n\nThe \"busywork trap\" is a real concern. AI can make us extremely efficient at producing things, but this can result in building features nobody asked for, creating beautiful dashboards without a real customer, or launching side projects merely because we can. This may lead to impressive numbers in terms of features, repositories, prototypes, and products, but it may also result in less customer value, product-market fit, user adoption, and revenue.\n\nThe true value lies in asking the right questions. Instead of focusing on \"Can we build this?\", great product builders should ask \"Should we build this?\". This shift in focus from merely building to understanding what not to build is crucial. The goal should not be to launch as many products as possible, but to learn faster. Build a small version, put it in front of real users, listen, measure, and learn. Then, decide whether it deserves further development.\n\nUltimately, the AI era will reward those who can make better judgments about what to build, not just those who can build more. The advantage of AI isn't just in the speed of building a product, but in the ability to test assumptions faster. The real differentiator in this era will be better problems, better decisions, a deeper understanding of users, and a higher level of product judgment. The ultimate goal shouldn't be to build more, but to build what matters.",
  "summary": "AI has made building software dramatically easier. But when everyone can build faster, the real advantage may no longer be how fast you build —but what you choose to build . AI can write code for us. It can turn an idea into a working prototype in hours. It can generate APIs, build UI components, write database queries, create tests, and even help us debug problems. Building software has never…",
  "key_points": [
    "AI accelerates software development but doesn't guarantee better software.",
    "Developers are building more code and prototypes, but not all reach users or solve problems."
  ],
  "editors_take": null,
  "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."
}