Clean code is killing your career the myth of clean code

okay, let's dive into the controversial topic of "clean code" and whether it might be hindering your career. this is a nuanced discussion, as "clean code" is generally considered a desirable trait. the argument we'll explore is that **over-focusing on specific, often subjective, interpretations of clean code can lead to negative consequences**, especially in the context of real-world software development.

**the basic idea: "clean code" as a guiding principle**

"clean code" (capitalized, referring to the robert c. martin book of the same name) and related concepts are generally about making code:

* **readable:** easy to understand for other developers (and your future self).
* **maintainable:** easy to modify, extend, and fix.
* **testable:** designed to be easily covered by automated tests.
* **reusable:** potentially applicable in other parts of the project or in other projects.

these are undeniably good goals. no one wants to work with spaghetti code or a system that's impossible to change without breaking everything.

**the problem: dogmatic adherence and misinterpretations**

the problems arise when these principles are applied rigidly and without context, often leading to:

1. **over-abstraction and over-engineering:**
2. **premature optimization:**
3. **readability obsession at the expense of performance:**
4. **ignoring the bigger picture (architecture, business needs):**
5. **time waste and increased development costs:**

let's look at each of these points with examples:

**1. over-abstraction and over-engineering**

* **the clean code principle:** "abstraction is good." "don't repeat yourself (dry)."
* **the problem:** applying this without careful consideration can lead to unnecessary layers of abstraction that make the code *more* complex, not less. you end up with a maze of interfaces, abstract classes, and factories that obscure the original intent.

* **example (javascript):**



**analysis:** the simple approach is ...

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