Startups often stumble due to architectural design mistakes made during the early stages of development. Key pitfalls include prematurely implementing complex solutions, relying heavily on past experiences, and experimenting with unfamiliar new technologies. Prioritizing speed, compliance with current requirements, and ease of replacement can help avoid these traps. As startups transition from an MVP to finding product-market fit, it becomes crucial to avoid overengineering and focus on validating hypotheses through simple and scalable solutions. Setting up basic CI/CD, static code analysis, and error monitoring tools can also significantly enhance development efficiency and quality.
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