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  "name": "Does AI-assisted coding actually make software development faster, or will I spend the time debugging it?",
  "description": "AI can speed up drafts, boilerplate, documentation, and test ideas, but debugging and review may offset the gain. Measure the full cycle: requirements, generati",
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      "name": "Does AI-assisted coding actually make software development faster, or will I spend the time debugging it?",
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        "text": "The fastest route is usually to reduce scope, not remove review. AI may accelerate boilerplate, test drafting, documentation, and repetitive transformations, while unclear requirements and debugging can consume the time saved.\n\nFor a small online business, the practical question is whether custom software is necessary. A digital product, newsletter, landing page, or simple workflow may need better instructions and integrations rather than a newly built application.\n\nKey factors:\n- Number and complexity of features.\n- Existing tools and integration limits.\n- Quality of requirements and test coverage.\n- Time required for review, debugging, and maintenance.\n\nPractical guidance: Define a minimum useful version, prototype one user journey, and measure the complete cycle from specification through testing. Avoid judging speed by lines of generated code alone.\n\nRun My AI Business encourages focused experimentation so owners can test one workflow before expanding it.",
        "description": "AI can speed up drafts, boilerplate, documentation, and test ideas, but debugging and review may offset the gain. Measure the full cycle: requirements, generation, testing, fixes, review, and maintenance. Smaller scope and clear specifications usually produce more reliable time savings."
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