You still reduce repetition, you can still change stuff in a single point, but you retain the ability to make custom changes if needed.
Amen. With the caveat that this is a guideline, not a rule.
Therefore it's insufficient to say things like "avoid bad abstractions" or "make sure you accommodate future usage". No one can predict the future, generally speaking.
Abstraction should be used with extreme caution, even when you feel that it's probably right. Be an extreme skeptic.
A "clean code" approach to this kind of code doesn't handle evolving requirements well. It always ends up as a mess of helper functions with multiple code paths within depending on where the function is called from. This can sometimes be abstracted: some people might have noticed already the previous sentence is describing OOP polymorphism. But how would anyone know the exact requirements ahead of time? If we're in such an early phase, any attempt to "clean code" will only result in a bad abstraction, or in overengineering. The right approach is to do nothing, note the possible issue, and wait until more is known about the problem domain.
Been a victim of this myself a few times myself so I normally do exactly what you've suggested and wait until a clear, and still performant abstraction has emerged from the code and slowly refactor-in the abstraction. But it's always better to do this on a nearly completed codebase, so at the end, where you should naturally be looking to remove lines, not add.
I wouldn't worry too much about somewhat duplicated, but easily understood code, like the original example.
I would however worry if I have to fix the same issue in 3 places, or add code for a new feature in 3 places. That's when I start wondering if I can push the code I need to change or add into a common place somehow.
Also have u seen refactors in clean code?
Guy refactors thread safe code by introducing static variables which make code not thread safe, but hey! At least it is a little bit shorter!
The best part is that the same commit added unit tests so our coverage grew over the magic 80% bar, but of course unit tests don't usually test for race conditions.
This is actually a big reason for the popularity of the book, showing a "one true way".
And this carried on to followers of the style. Some linters even enforce the style without much regard for the practicality of it.
That's Clean Code.
> Many of the recommendations in this book are controversial. You will probably not agree with all of them. You might violently disagree with some of them. That’s fine. We can’t claim final authority. On the other hand, the recommendations in this book are things that we have thought long and hard about. We have learned them through decades of experience and repeated trial and error. So whether you agree or disagree, it would be a shame if you did not see, and respect, our point of view.
It's been a while since I've read Clean Code, but I seem to recall it stated many times that blindly applying the rules of Clean Code without good justification would lead to bad code. The author even provides examples of this. People in this thread are criticising Clean Code principles as if they are meant to be a rigidly enforced dogma. They aren't, and the author never intended them to be so.
To a beginner, it reads like ”these are subjective matters so experience is king, and we have more experience than you do”.
And yet, that's clearly their target audience.
I personally derived a lot of value from reading the book, and I feel like my skills noticably improved from before to after. So perhaps my own biases are showing, but I believe discounting the book's contents wholesale is a mistake. There is a lot of value to be garnered from reading it. The book doesn't have to be the infallible word of the Software Gods for it to be useful.
That disclaimer filters out anybody that isn't at least on the transition to be a senior dev (with real seniority, not just in inflated title). It takes quite a lot of experience to agree or disagree with a rule, and respect a point of view without automatically applying it.
In fact, since the rules on the book have way deeper impact than they look like, being able to read that book and not getting damaged by it is a good test for seniority.
But, funny thing, if you are mature enough to fit the disclaimer, you've necessarily already seen all that the book talks about and don't need reading it.
With practice, one soon comes to understand why you might also want to solve for Y. Those with experience are going to ignore what everyone else says anyway, so it doesn't matter if it is not true for them.
Indeed, we in this industry are bad at practicing, and that's a problem. Imagine being Taylor Swift and having your guitarist for the night's performance having picked up a guitar for the first time yesterday. That would never fly, yet that's often how we treat software development – and that's how we get to these kinds of places.
As far as generality is concerned, it's not the number of examples that matters. Once you learn to distinguish whether your duplicated code actually duplicates some piece of knowledge or just happens to resemble another piece of code by happenstance, you stop having to rely on an unreliable magic number as your limit on how many instances of duplication to allow before abstracting something. And that skill probably correlates strongly with the understanding that abstractions are not just macros that make it more convenient to repeat some chunk of code, they actually represent knowledge, and thus their primary use is not to eliminate duplication, but to encode an understanding of a problem domain into the code.