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Hacker News·3 min read·medium

Perfection Is Not Over-Engineering

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✦AI Summary

The author argues that 'over-engineering' is often misunderstood as 'caring too much' about quality, when it is actually the result of solving the wrong problem. True perfection is defined as the only solution that fits a specific, well-defined set of constraints.

Why it matters

It provides a framework for software development teams to balance technical quality with project requirements and efficiency.

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"We don't want to do perfect." "We don't want to build the perfect solution." I've heard versions of that line more times than I can count, delivered as if "perfect" were a dirty word. And I understand the caution — over-engineering burns teams, and people have learned to treat anything that smells like perfection as the same risk.

It isn't. The industry has quietly conflated the two.

Over-engineering is solving the wrong problem . That's the whole definition. Not "caring too much." Not "making it too good." Solving the wrong problem. Often with good intentions, and almost always with a growing pile of incidental complexity.

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