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Over-engineering is a common trap for intermediate developers who apply enterprise patterns and abstractions to simple problems. The article argues against premature abstraction, showing real examples of unnecessarily complex code that could be replaced with straightforward solutions. Key principles include: abstract only what changes frequently, wait for three use cases before creating abstractions, avoid interfaces with single implementations, and prioritize readability over architectural sophistication. Simple, boring code that solves actual problems scales better than over-architected solutions designed for hypothetical future requirements.

You're Not Building Netflix: Stop Coding Like You Are

The quieter you become, the more you can hear.
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CyberLink Security

Good one

Good one

I agree that it is essential not to over-engineer solutions. Additionally, I believe that engineers should prioritize disciplined foresight. Many sprints and software engineering projects fail due to inadequate planning, poor execution, and issues related to human behavior.
It is crucial to visualize the long-term goal and establish a foundational system - a solid base (bedrock) capable of supporting the demands of future developments.

I find that it should be a “middle” ground.
On one hand, as <a href="https://app.daily.dev/alexeyzerkalenkov" data-mention-id="TZHSbEvyAJHCMr0FMoXFJ" data-mention-username="alexeyzerkalenkov" translate="no">@alexeyzerkalenkov</a> suggested, YAGNI and KISS. No need to build MAANG-level complexity and put in place insane level architecture.
At the same time, leave room for expansion. Don’t go adding database queries in your UI components, saying you don’t need a repository pattern, because you can shove all your business logic in your code-behind.
There’s a fine balance, given by common sense, as far as how far you should keep things simple and yet allow room for growth without a complete overhaul, every time you need to expand your project.