Overcoming Intuition In Programming (amasad.me)
An anonymous reader writes: Amjad Masad, a programmer who works at Facebook, has put up a post about intuition and programming. It's based on a series of experiments (PDF) into how the presentation of a problem affects the learning involved in solving it. Researchers found that if they made a test deliberately hard to understand, those taking the test would exhibit greater understanding after solving it than those who were presented with a more intuitive wording of the same problem. Masad discusses how the research applies to software engineering: "Programming is an intellectually challenging task, but luckily we invent tools to make it manageable. I find that up to a certain point, the intuitive and easy properties of a given language, framework, or library might start to have negative effects.
From personal experience and from mentoring beginners I noticed that when using tools that allow us to reason within our intuition, anytime we're faced with some difficulty we feel that we've done something wrong. And although we might have the necessary skills to overcome the difficulty, we often start questioning and revising our work." He concludes, "Code reuse, libraries, sharing, and open-source are very important to software engineering, but we should be careful to not enable the belief that programming should be as easy as gluing things together."
From personal experience and from mentoring beginners I noticed that when using tools that allow us to reason within our intuition, anytime we're faced with some difficulty we feel that we've done something wrong. And although we might have the necessary skills to overcome the difficulty, we often start questioning and revising our work." He concludes, "Code reuse, libraries, sharing, and open-source are very important to software engineering, but we should be careful to not enable the belief that programming should be as easy as gluing things together."
"Code reuse, libraries, sharing, and open-source are very important to software engineering, but we should be careful to not enable the belief that programming should be as easy as gluing things together."
That is the management view of programming and a major corporate goal. This way it reduces the skills needed to complete the task, and hence you can pay less for the less skilled laborers.
Why do you think the average salary of a Windows Admin is lower than that of a Unix/Linux Admin? Because Microsoft pushed the "we've made it simple, just push the button" marketing drek and aimed it squarely at the management crowd -- who bought it hook, line and sinker.
"They made it easy, so I shouldn't have to pay you as much because anyone can do it. I'll just hire some kid with the latest MS cert..."
Learning HOW to think is more important than learning WHAT to think.
Researchers found that if they made a test deliberately hard to understand, those taking the test would exhibit greater understanding after solving it than those who were presented with a more intuitive wording of the same problem.
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Code reuse, libraries, sharing, and open-source are very important to software engineering, but we should be careful to not enable the belief that programming should be as easy as gluing things together
This is the wrong conclusion. Most of the time, we should give preference to tools and practices that have already become best practices, without necessarily questioning each one every time. Of course, there is room for challenging best practices and libraries, but that's for people who are interested more in the best practices and libraries, than for the people trying to use them to create something useful to end users.
You don't need to know how to repair a car to drive one. The guy who repairs your car doesn't need to know how to build a motor or a transmission, only how to install them. The guy who assembles the motor doesn't need to know the finer points of metallurgy. The guy who refines the metals doesn't need to know the finer points of mining. Each of these stages of production can have their own issues that need to be resolved, but the guy driving the car needs to worry only about staying safe on the road and reaching his destination.
Programming should be the same way. I shouldn't have to debug the IP stack to make my program connect to the Internet, nor should I have to reinvent build systems to produce a product.
Specialize!
C weilding academic to me
Say what? I don't know too many (computer science) academics who'd touch C with a ten foot pole. Those of us who use C do it for real work (and like it/won't get off it).
If I want to live in an ivory tower I'd either a) use the latest theory compliant language/compiler du jour or b) refuse to code at all since that is an implementation issue, and instead pontificate on what is missing from latest language.
Careful, C++ has its own share of unintuitive weirdness. Take the following example:
This prints out:
Nothing unusual there, right? std::map iterators are non-invalidating and you're not touching "iter", so it should be (and is) remaining the same. But what if we use reverse iterators (and correspondingly switch the side of the iterator we do the insert on)?
Despite sounding like the same sort of thing ("iterators"), forward and reverse operators have some very different properties in a key area. A non-invalidating forward iterator will always remain pointing to the exact same element regardless of what happens with other parts of the container. This does not apply to reverse iterators, as they are implemented in a rather unintuitive way - they actually point to the element after the element that they pretend to point to, and so changes to other elements can change what they appear to point to.
There's a lot of things like this in C++ that can slip past a person for years before it actually bites them. Don't get me wrong, I love C++ and think C is a rather dangerous language (from a memory safety standpoint) that requires that its authors reinvent the wheel over and over again. But C++ does have some weirdness in places that can pose hazards. For example, from a more beginner-perspective, what percentage of users have at one point been frustrated by trying to understand why a pointer in one of their classes is getting freed unexpectedly, due to not realizing the dangers of the implicit copy constructor/assignment operator when it comes to pointers? I bet that's bit almost everyone at some point in their career. Sure, you can "reason out" that that would happen, but most people learn it by being bitten once or twice.
Shiny New Australia.
Yeah, I always found coding (and especially debugging) required a level of intuition ... precisely because it was more than just gluing pieces together.
I understand you don't want to rely too much on intuition, because it's hard to sound like anything other than voodoo, but sometimes the voodoo is still a real thing.
I worked with someone years ago who liked to go on about how everything should be abstracted and pretty/elegant according to whatever was popular that month. He read the books and magazines incessantly, and wouldn't shut up about them.
The problem is he often wrote shit code he couldn't maintain or debug because he'd abstracted things so much it was impossible for him to follow his own code, or know where to look when things went wrong. A small enhancement request left him squealing how the code wasn't designed to do that and he'd have to rebuild it. Meanwhile the rest of us went "so, all of that is in here, and if I just nudge this a little it's all done".
I'm sure he got better over time, but for someone who was so loudly a proponent of the latest language theories and methodologies, he never seemed to understand how his neat intellectual model in no way translated into maintainable, readable, or sometimes even useful code. But his insistence on following all of these things usually had the result of him making absolutely terrible design choices.
These frameworks and methodologies sound awesome on paper, but you can still use them to write complete garbage code which is brittle, inflexible, and often completely wrong for what you're trying to use it for.
Whereas the guys who learned to program and debug without the syntactic sugar and frameworks to build upon, those guys tended to have a bigger picture view of the pieces. Which means you can zero in on where you think it likely went sideways instead of staring blankly wondering why your monument to methodology is now a teetering mess you have no idea where to begin with when there's a problem.
Lost at C:>. Found at C.
That's my experience as well, at least, as of the middle 90's. Why use a mainstream, commercial language, when you could use a theoretically complete one? One where they recognize that features like "output" and "input" are dirty exceptions that spoil the purity of your program when you're trying to get a good hard proof using Hoare logic.
Better not clutter up the syntax either by using confusing, pre-existing symbols to form constructs, not when you can add whole new symbols requiring a special (APL) keyboard!
I remember having a TA once challenge me - I had written an algorithm to operate iteratively, rather than recursively, because I had noticed the program would run out of memory if I did it the other way when fed large data sets - because to him, recursion was theoretically perfect and not using it was a personal affront. The fact that my code worked and his crashed after 4-5 minutes didn't matter.
To paraphrase a professor of mine, "There's absolutely no reason for a computer scientist to use a computer."
This sort of attitude was pretty rampant all throughout my college career, fairly startling having already been employed in the industry for some years prior. No concept of real world usage at all, or worse, some strange bias against it.
I don't doubt your story but the problems we are solving today are more complex than the ones of years ago. In the 1970s if you wrote a nifty way to solve the quadratic equation you might be considered a super star. (Okay that was somewhat of a dramatization) But today we are dealing with much more complex domains. In many cases we are trying to model human behavior. It's simply not possible to solve these problems if we didn't have building blocks. What we really need is a good understanding of the problem we are trying to solve and enough technical skills to turn that understanding into something working. Getting the problem description right is where the heavy lifting should be. If the implementation involves fussing with tools rather than working on the problem, the tools should improve.
C++ doesn't have "weirdness," C++ has bad design. Literally anything that you might think C++ would be good for is better solved by either C#, C, or a combination of both.
"[Regarding the 'cloud,'] ownership was what made America different than Russia." -- Woz
That's fine for your own projects, but the problem comes in with dealing with other's code. Everyone seems to have their own subset of C++ they like to use. The problem is that everyone's subset is a bit different. So you have to be at least aware of everything in C++, just so you know it when you run across it. (once again, this doesn't apply for your own projects)