[jshowa3]

Yes, but you need to be wary that you're using the toolchain for its intended purpose. The toolchain is supposed to be saving you typing and lookup time. It's not supposed to be substituting for your actual understanding of the code.

The problem is, I don't think anyone completely understands the code when they write it. 90% of the time, you're writing code with a library written by someone else and you have an abstract understanding of what it does. That's the whole point of code is to abstract as much detail as possible. Its so you don't have to know what the machine code equivalent of X CPU add instruction is when coding a website for example. You just type + and the compiler/interpreter does everything for you.

[stcredzero]

The problem is, I don't think anyone completely understands the code when they write it. 90% of the time, you're writing code with a library written by someone else and you have an abstract understanding of what it does.

The trick is this: Do you actually have that good abstract working understanding, or have you only convinced yourself? This is the difference between sloppily convincing yourself you understand a word salad, or being able to coherently teach a concept. It's even a further step to be able to understand the specification of something in enough detail to be able to implement it and to see potential pitfalls. (This is the difference between real science and cargo cult science: Predictive Power.)

You just type + and the compiler/interpreter does everything for you.

There's a world of difference between just typing "+" or "/" because you've seen it and just going on token frequency/pattern matching, and really understanding the concept.

    X = Y + Z

Is often going to be quite different in control flow consequences from

    X = Y / Z

If Z happens to be zero.

If one is a careful programmer who has done substantive work, one should know there's a world of difference between a specification of a program that sounds good on the surface and a really good specification. After many years, one will have encountered many specifications which had to be re-thought one or more times to be practically implemented.

No, you shouldn't have to always rewire your program in hardware from NAND gates you make yourself from silicon in the bucket of sand under your desk. (I've actually quit a job because the manager was going overboard with that attitude.) But you should be able to peek under the next level of abstraction, and have enough working knowledge to become wary and know when you should be peeking. Either you can do this, or you do not have that level of skill/knowledge. Simple as that.

(Addendum: If you think to yourself that you can't do that, there's two common reactions to that. Either you tell yourself excuses and denigrate and don't bother, or you roll up your sleeves and learn it for yourself. You choose.)

[jshowa3]

There's a world of difference between just typing "+" or "/" because you've seen it and just going on token frequency/pattern matching, and really understanding the concept.

    X = Y + Z

Is often going to be quite different in control flow consequences from X = Y / Z If Z happens to be zero.

Obviously, but that is more of a concept in understanding mathematics than writing and understanding code. For example, do you need to know that Y / 0 returns a custom exception inherited from several parent classes under the parent Exception? Are you really thinking about all that when you code? Or is it mostly irrelevant and you just need to know that an error occurs and you need to be mindful of it (regardless of whether the error comes in the form of an exception, error code, hardware interrupt, etc.)

API's are written specifically to avoid needing to peek under the code and you should only really need to if they are poorly documented. Even then, you only seem to think only the next level of abstraction is warranted and not other levels (i.e. IL/x86 assembly or machine code). This next level of abstraction can yield important learning in code optimization because what you write in a higher level language can be implemented in multiple ways at a lower one (sometimes at a performance determent).

Either way, most coding is a black box exercise. While looking under the hood is useful and informative at times, nobody has the brain capacity nor time to absorb it all and apply it. Which is why the smart people built upon other smart people to put a model in place that can be applied without knowing what machine instructions your computer spits out after compilation, or without knowing the implementation details of how you get a list of a specific type or how it adds/removes/copies/etc. Same as science. You don't need to do an experiment every time to know the motion of the planets, measuring their positions in the sky each time to calculate the orbits and deriving the equations through calculus. You simply skip to the step of Newtonian mechanics and kinematic equations.

Imagine if everyone had to learn how an engine worked in order to operate a vehicle. Hardly anyone would be able to drive.

[stcredzero]

Obviously, but that is more of a concept in understanding mathematics than writing and understanding code. For example, do you need to know that Y / 0 returns a custom exception inherited from several parent classes under the parent Exception? Are you really thinking about all that when you code?

Indeed. In a conversation like this, the mention of divide by zero is just supposed to evoke all of that for an audience of programmers.

API's are written specifically to avoid needing to peek under the code

Any product is designed to be simply used. The difference between an end user and a pro is that the pro can sometimes go a little further and sometimes needs to because they can push the product harder.

Either way, most coding is a black box exercise.

As is most professional activity of any kind. Most of any job is kind of routine. That's why they call it "routine." What distinguishes the consummate pro is the ability to go beyond when needed.

While looking under the hood is useful and informative at times, nobody has the brain capacity nor time to absorb it all and apply it. Which is why the smart people built upon other smart people

Being a smart person means taking into account context and getting the best cost/benefit. Nobody who is "smart" would advocate knowing absolutely everything about everything, all the time. That's clearly a straw man. (Perhaps you are pressing things in a certain direction?) It's also clearly not the position I'm advocating for. Likewise, nobody who's smart would simply advocate for ignorance. Not even the smartest people are infallible. Smart people are simply prepared for when things go wrong.

Imagine if everyone had to learn how an engine worked in order to operate a vehicle. Hardly anyone would be able to drive.

Funny you should mention this, but I was about to bring up that analogy, then decided to leave it off. I guess you're indicating it should be brought up. A typical driver doesn't need to know much about their engine. However, a professional driver of one of several different types is very well served by some knowledge of engines. Such knowledge isn't needed all the time, but when it is needed, the potential costs of not knowing can be quite high. You could lose a race, lose money, or lose a life.

[jshowa3]

The problem is, what you define as a pro is completely vague. There's no adequate definition of one as its simply presumed that a pro "knows what to do in X situation in X domain" which is almost no different than "knowing what to do in every situation that resides in X domain". There's literally no difference, its that vague.

Professional drivers really don't need to know much outside of the behavior of what they experience while driving. This is why there are things like pit crews and staff that support the driver. Its so the driver has to think about driving, not what fuel to air mixture is adequate to prevent piston knock.

This is the problem, nobody adequately defines what a professional is and can only be seen when "someone knows what to do" which implies having broad, wide scoping knowledge about a topic which again, is supposed to be something that isn't required and is the point of having models in the first place.

Its not that having in depth knowledge is bad, its just that having in depth knowledge is often not required and it doesn't make you any less of a professional for not "knowing it at the right time".

And with regards to Y / 0, a programmer is mostly thinking about how to catch the exception properly for a given task. He does not care that the exception is nested X levels deep in the class hierarchy. He does not even need to know the mathematical understanding of Y / 0, just that its an error state. He does not care how the error code is generated, just that it exists. He does not care how the list adds/removes items and what the worst case runtime is, he just cares about its use. Because the point is, you're not supposed to care about implementation details. Abstraction is king and you can go a long way without knowing a lot.

[stcredzero]

The problem is, what you define as a pro is completely vague.

I think it's pretty clear from this thread. In the context of programming, it's someone who can do what a "mere user" can do, but who can push the thing to extreme limits, modify it to do something completely new, or fix it if it's somehow broken or has holes in its design.

Professional drivers really don't need to know much outside of the behavior of what they experience while driving.

In the case of racecar drivers: They need an intuitive understanding of what their engine is capable of, and how far they can push it based on what it's been doing. They need an understanding of driving physics. They need a good feeling of driving physics, and they need to understand how the wear they've put into their tires could affect performance. There's a lot to know about competition rules and regulations. They need to know enough about the physics of car aerodynamics, and how it affects their grip in different situations. Not knowing such things has literally gotten professional drivers killed. And professional encompasses more than just racecar drivers. Truck drivers working in extreme conditions have to know quite a bit, it turns out. Truck drivers who are pointedly ignorant about their engines can end up costing someone a lot of money in repairs. "Professional driver" actually encompasses a number of careers. The point is, professionals have to know a lot that goes much, much deeper than just being an "end user."

And with regards to Y / 0, a programmer is mostly thinking about how to catch the exception properly for a given task.

Not necessarily. This would vary a lot depending on the language and the particular task.

He does not care how the list adds/removes items and what the worst case runtime is, he just cares about its use.

Not necessarily. This would vary a lot depending on the language and the particular task.

Because the point is, you're not supposed to care about implementation details. Abstraction is king and you can go a long way without knowing a lot.

The king is just another fallible mortal. All abstractions leak. I'll grant that there are professionals what can mostly get away with basically just being an end user. 95+% of the time, everything will be routine, and copacetic. It's that last few percent where things can get really dicey and expensive. (Also the basis of a lot of the money for "consultants.") If someone wants to run a shop where someone isn't prepared with the know-how to deal with that, I guess it's their business. That's not what I'd consider a very a high level of "professional."

[jshowa3]

I think it's pretty clear from this thread. In the context of programming, it's someone who can do what a "mere user" can do, but who can push the thing to extreme limits, modify it to do something completely new, or fix it if it's somehow broken or has holes in its design.

Its not clear at all because you can simply move the goal post. Someone with 20 years of programming in client side apps struggles with programming a website and can't figure things out on X situation without help. Does that mean they are automatically not professional?

In the case of racecar drivers: They need an intuitive understanding of what their engine is capable of, and how far they can push it based on what it's been doing. They need an understanding of driving physics. They need a good feeling of driving physics, and they need to understand how the wear they've put into their tires could affect performance...

Again, another arbitrary definition. I bet you can go to most professional drivers and they won't understand the physics at all, they have an understanding from experience and consultation of the experts, but I would bet that 90% of drivers aren't going to pull out calculus or kinematic equations to analyze a race track. They either hire someone to do that or use a computer (most likely) to simulate the race. And even then, the simulations are inaccurate due to driver emotional state. My guess is they have, at most, a surface level understanding of driving physics.

Not necessarily. This would vary a lot depending on the language and the particular task.

So does everything, but we know that Y/0 is a programmed failure state based on the library being used. So the solution is either, catch the exception (and by catch, I mean control in a broader sense since you can condition the input), use a different library, or write your own library. I would hope, in a business setting and in most settings, you would choose to catch the exception or control for it in some way.

It's that last few percent where things can get really dicey and expensive. (Also the basis of a lot of the money for "consultants.") If someone wants to run a shop where someone isn't prepared with the know-how to deal with that, I guess it's their business. That's not what I'd consider a very a high level of "professional."

So you base your decision on the few percent of people that can do X vs. the 95% of people that can't, but can solve all other problems without knowing the details? Seems like a very irrational outlook considering the following: a) Some of these top 5% of people may not even exist b) If they do exist, they are most likely consulting c) They are being paid more than most businesses can afford d) They work for companies you probably don't work at e) They are doing research work and publishing papers you probably never read f) They probably can't solve X problem outside their expertise without assistance

But the point is that even if abstractions leak, they rarely do. And that's the whole point of engineering and technological advancement in general, is so that you don't need to know the details.