When developing software, you can't optimize everything at once. Every decision improves some things while making others worse.
There is no perfect solution in software. Every decision answers a question like, "What do I care about more in this particular situation?"
A good rule of thumb is to optimize for clarity and simplicity first. Write code that works, is easy to understand, and only optimize if there's a real problem.
Fast code can be complex and hard to understand. Simple code is easier to maintain but might be slower.
Think of a super-optimized algorithm vs. a basic loop that's easy to read.
Shipping quickly can lead to more bugs and less polish. Meanwhile, taking time can be better for maintainability, but a slower release.
Startups often lean toward speed, while critical systems lean toward quality.
Flexible systems handle many cases but can get complicated. Simple systems are easier to use but are less adaptable.
Think of a highly configurable framework vs. a simple script that does one thing well.
Systems built to handle millions of users are expensive and complex. Small, simple systems are cheap but are more likely to break at scale.
Faster programs often use more memory. Memory-efficient programs may run slower.
Stronger security means more steps and restrictions. More convenience, is easier to use but risky and prone to attacks.
Reusable code is great, but making everything reusable can waste time. Sometimes it's better to write something simple and specific.