Programming

I feel like it’s wrong to idolize anything in the same way that it’s wrong to throw out many things (there are some clear exceptions usually in the realm of intolerance but that’s unrelated to this). Clean Code, like every other pattern in software development, has some good things and some bad things. As introduction to the uninitiated, it has many good things that can be built on later. But, like Gang of Four, it is not the only pattern we apply in our craft and, like Agile, blind devotion, turning a pattern into a prescription, to Clean Code is going to lead to a lot of shit code.

Cognitive load helps us understand this problem a lot better. As a junior with no clue how to write production code, is Clean Code going to provide with a decent framework I can quickly learn to start learning my craft, should I throw it out completely because parts are bad, or should I read both Clean Code and all its criticism before I write a single line? The latter two options increase a junior’s extraneous cognitive load, further reducing the already slim amount of power they can devote to germane cognitive load because their levels of intrinsic are very high by the definition of being a junior.

Put a little bit differently, perfection (alternatively scalable, maintainable, shipped code) comes from learning a lot of flawed things and adapting those patterns to meet the needs. I am going to give my juniors flawed resources to learn from to then pick and choose when I improve those flaws. A junior has to understand the limitations of Clean Code and its failures to really understand why the author is correct here. That’s more cognitive science; we learn best when we are forming new connections with information we already know (eg failing regularly). We learn worse when someone just shows us something and we follow it blindly (having someone solve your problem instead of failing the problem a few times before getting help).

I’m gonna be super hand-wavy with citations here because this a soapbox for me. The Programmer’s Brain by Felienne Hermans does a good job of pulling together lots of relevant work (part 2 IIRC). I was first introduced to cognitive load with Team Topologies and have since gone off reading of bunch of different things in pedagogy and learning theory.

It makes me sad to see people upvote this.

Robert Martin's "Clean Code" is an incredibly useful book which helps write code that Fits In Your Head, and, so far, is the closest to making your code look like instructions for an AI instead of random incantations directed at an elder being.

The principle that the author of this article argues against seems to be the very principle which helps abstract away the logic which is not necessary to understand the method.

public void calculateCommissions() {
  calculateDefaultCommissions();
  if(hasExtraCommissions()) {
    calculateExtraCommissions();
  } 
} 

Tells me all I need to know about what the method does - it calculates default commissions, and, if there are extra commissions, it calculates those, too. It doesn't matter if there's 30 private methods inside the class because I don't read the whole class top to bottom.

Instead, I may be interested in how exactly the extra commissions are calculated, in which case I will go one level down, to the calculateExtraCommissions() method.

From a decade of experience I can say that applying clean code principles results in code which is easier to work with and more robust.

Edit:

To be clear, I am not condoning the use of global state that is present in some examples in the book, or even speaking of the objective quality of some of the examples. However, the author of the article is throwing a very valuable baby with the bathwater, as the actual advice given in the book is great.

I suppose that is par for the course, though, as the aforementioned author seems to disagree with the usefulness of TDD, claiming it's not always possible...

No, it isn't