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It has long lingered on my mind to reflect partially on my experience of the last 3 years. +The B.Sc. of Computer Science I have recently undertaken is soon coming to an end. +Fortunately, this is not the end of my journey as a Computer Scientist, but there are specific things that I did not realize about Computer Science before I embarked on this endeavour. +Here’s one that has been bugging me the most: Computer Science is 90% reading and understanding and 10% coding.

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With the proliferation of the so called “vibe-coding” and use of generative AI to streamline production of code this might seem like a medieval thought at first, but bear with me, as I believe it to be the most important thing I have learned about Computer Science in the last 3 years.

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Dealing with complex problems is hard. +Programming is all about solving problems, we programmers live by optimizing our code the best we can, and try to find solutions to problems that we encounter while doing so. +While it is no doubt nice to have a working code that does something cool, or a solution to a problem that meets the specification, I don’t think that is the mindset a programmer should have – that is, to solve a problem is not about getting to a solution somehow.

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Solving coding tasks requires time. +This might be difficult to admit for some, as it has been for me. +But understanding a problem requires patient reading and digesting the context, possible solutions and most importantly doubts. +On top of this, if you have solved a problem without asking questions about it, then it wasn’t a difficult (by proxy important) problem to be solve in the first place.

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Reading code is hard. +It’s sometimes like reading an essay in a foreign language. +Your head hurts, your eyes are getting sore, and after 6 hours at staring at the screen you conclude you don’t understand anything anymore. +It would almost seem like this time has been wasted, since you might have not produced a line of code. +Nevertheless, this is all there is to programming.

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After 3 years, it appears to me that the views about Computer Science as a disciple of Donald Knuth and Edsger Dijkstra seem the most correct. +I had first stumbled on Donald Knuth’s blog long ago, when exploring Jamie Zawinski’s blog and looking for top figures in CS to study. +On his blog Knuth writes: “What I do takes long hours of studying and uninterruptible concentration. I try to learn certain areas of computer science exhaustively; then I try to digest that knowledge into a form that is accessible to people who don’t have time for such study.” +There it is. +Computing takes time. +There’s no silver bullet yet, and we as programmers have to take our time to think about problems in depth. +There have been many comments on the peculiar style of teaching and way of being of Edsgar Dijkstra, but I believe he has made some really good points. +I greatly encourage you to watch his Turing Award lecture. +Nevertheless, what describes my experience over the last 3 years is his quote: “The competent programmer is fully aware of the strictly limited size of his own skull; therefore he approaches the programming task in full humility[…]”. +I think this the approach to take, and certainly one that I will take on my future escapes to the CS world. +So often computers help us verify and point out that we indeed really don’t know anything, we are just pretending we do.

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