{
  "id": 18608094,
  "title": "Your Code Can Be Perfect. Your Product Can Still Fail.",
  "url": "https://urgent.news/2026/11/07/your-code-can-be-perfect-your-product-can-still-fail",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-07T01:17:57.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/holasoymalva/your-code-can-be-perfect-your-product-can-still-fail-gag"
  },
  "original_language": "en",
  "account": "Writing flawless code does not guarantee product success. Despite the advancements in coding tools, the key to a product's viability lies in understanding the problem it aims to solve. Two engineers receiving the same request to add an export button for CSV downloads demonstrate this disparity. Engineer A simply implements the feature with thorough testing, whereas Engineer B delves deeper into the workflow, proposing a more comprehensive solution involving scheduled integrations, data validation, and an auditable processing pipeline. The distinction isn't in the quality of the code, but in Engineer B's grasp of what the code is intended to change.\n\nIn the past, coding was a significant constraint, demanding extensive time and specialized knowledge. However, modern tools have streamlined implementation, albeit not necessarily solving the core issues. The true challenge now revolves around understanding what deserves to be built, ensuring the solution fits seamlessly into the customer's workflow, and anticipating potential issues like incomplete or incorrect data.\n\nRoles such as Forward Deployed Engineer, Product Engineer, Applied AI Engineer, and Solutions Engineer exemplify this shift, emphasizing a broader responsibility that extends beyond coding. These roles require engineers to own the journey from problem identification to product outcome.\n\nTo remain valuable, engineers should focus on expanding their context beyond coding. This includes investigating requirements before implementation, understanding the broader system they're a part of, and learning the business language of the product. This approach ensures engineers are not merely ticket-takers, but proactive problem-solvers, capable of creating robust, efficient, and valuable products.",
  "summary": "I've watched good engineers lose their jobs. Not all because of AI. Some because of budget cuts, restructuring, products that never found a market, or companies changing direction overnight. But it left me with an uncomfortable question: If you're excellent at writing code, does that automatically make you valuable to a business? I don't think it does. At least, not anymore. And before anyone…",
  "key_points": [
    "Flawless code alone doesn't ensure product success",
    "Modern tools streamline coding but don't solve core issues"
  ],
  "editors_take": "The rise of specialized engineering roles signals a shift where technical proficiency must be paired with deep product context to ensure software solves actual user problems.",
  "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."
}