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I think DOD is great and Casey’s optimized version is great. But his claim that OOP inevitably leads to horrible performance is factually wrong. And he’s repeats it over and over even after the viral video. My main goal with the article/video was to debunk this false claim of his.

Also, something most people over look is the OOP example in his article is 100% vanilla OOP. There is nothing “clean code” about it. So he’s really railing against OOP and not clean code.

My article shows that the impact of the overhead of OOP, but really the impact of the overhead of _anything_, can range from huge to basically zero, depending on the time scales involved. So my main point is you should be very mindful of the time scales involved.

But if you want to rule out OOP for non-performance reasons I think that’s fine. All styles have pros and cons, and situations can vary widely. Like for instance the existing style of the project and the skills and preferences of the people involved.




> My article shows that the impact of the overhead of OOP ... So my main point is you should be very mindful of the time scales involved.

But if the overhead of OOP, as shown both by you and by Casey in his original video, makes up a significant chunk of your computation time it will inevitably lead to bad performance. Once you are mindful of the timescale and realize that OOP is the culprit, your only choice to go faster is to get rid of it.


I don't quite follow how you proved it wrong. All the examples seemed to be alternatives to OOP?




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