And stability is important, but not critical - and the main way they want to achieve it is that errors should be very obvious so that they can be caught easily in manual testing. So C++ style UB is not great, since you may not always catch it, but crashing on reading a null pointer is great, since you'll easily see it during testing. Also, performance concerns trump correctness - paying a performance cost to get some safety (e.g. using array bounds access enforcement) is lazy design, why would you write out of bounds accesses in the first place?
I think that's an overall good summary of the crowd's attitude. They think that mainstream programming environments err too far in the direction of keeping your software from being buggy, charging programmers a heavy cost for it. Undoubtedly for videogames they are correct.
Jai in particular does support array bounds checking, but you can turn it on or off as a compilation option: https://jai.community/t/metaprogramming-build-options/151
IMHO this group's canonical lament was expressed by Mike Acton in his "Data-Oriented Design and C++" talk, where he asks: "...Then why does it take Word 2 seconds to start up?!"[0]. See also Muratori's bug reports which seem similar[1].
I think it is important to note, as the parent comment alludes, that these performance problems are real problems, but they are usually not correctness problems (for the counterpoint, see certain real time systems). To listen to Blow, who is actually developing a new programming language, it seems his issue with C++ is mostly about how it slows down his development speed, that is -- C++ compilers aren't fast enough, not the "correctness" of his software [2].
Blow has framed these same performance problems as problems in software "quality", but this term seems share the same misunderstanding as "correctness". And therefore seems to me like another equivocation.
Software quality, to me, is dependent on the domain. Blow, et. al, never discuss this fact. Their argument is more like -- what if all programmers were like John Carmack and Michael Abrash? Instead of recognizing software is an economic activity and certain marginal performance gains are often left on the table, because most programmers can't be John Carmack and Michael Abrash all the time.
[0]: https://www.youtube.com/watch?v=rX0ItVEVjHc [1]: https://github.com/microsoft/terminal/issues/10362 [2]: https://www.youtube.com/watch?v=ZkdpLSXUXHY
At least for Casey his case is less that everyone should be Carmack or Abrash but that programmers often through their poor design choices prematurely pessimise their code when they don’t need too.
The argument made there is that "software quality" in the uncle bob sense, or in your domain version, is not necessarily wrong but at the very least subjective, and should not be used to guide software development.
Instead, we can state that the software we build today does the same job it did decades ago while requiring much vaster resources, which is objectively problematic. This is a factual statement about the current state of software engineering.
The theory that follows from this is that there is a decadence in how we approach software engineering, a laziness or carelessness. This is absolutely judgemental, but its also clearly defended and not based on gut feel but rather on these observations around team sizes/hardware usage vs actual product features.
Their background in videogames makes them an obvious advocate for the opposite, as the gaming industry has always taken performance very seriously as it is core to the user experience and marketability of games.
In short, it is not about "oh it takes 2 seconds to startup word ergo most programmers suck and should pray to stand in the shadow of john carmack", it is about a perceived explosion in complexity both in terms of number of developers & in terms of allocated hardware, without an accompanying explosion in actual end user software complexity.
The more I think about this, the more I have come to agree with this sentiment. Even though the bravado around the arguments can sometimes feel judgemental, at its core we all understand that nobody needs 600mb of npm packages to build a webapp.
Do we want software to be more complex? Can you explain what you mean here? The explosion from my POV seems to be related to simply more software.
> at its core we all understand that nobody needs 600mb of npm packages to build a webapp.
Perhaps, but isn't this a different argument/different problem?
If the argument is that these software packages are bloat, which can be detrimental to performance (which BTW is a bank shot as you describe it here), we all understand we don't need npm at all to build a webapp. However, it might make it easier? Isn't easy really important in some domains?
Again -- software engineering is an economic activity. If Word startup speed was important then more engineering resources would be expended to solve that problem.
>> I think it is important to note, as the parent comment alludes, that these performance problems are real problems, but they are usually not correctness problems (for the counterpoint, see certain real time systems).
The thing is we agree that performance problems are real problems. The problem is imagining that they are the same problem for every programmer in every domain. A high speed trading firm or a game dev studio simply has different constraints than Microsoft re: Word or a web dev.
"Why does this software not behave like my (better) software?" is a good question. Unfortunately I think Blow, et. al, only give this question a shallow examination. Maybe one doesn't treat the engineering of a thermostat the same way one treats a creative enterprise like a game? Maybe the economic/intellectual/self rewards are not similar?
No but the complexity of software should follow from the complexity of end user features. Essential vs accidental complexity. Some problems are complex, they require complex software. Some problems are simple, so the software should be simple. In an ideal world, at least.
> However, it might make it easier? Isn't easy really important in some domains?
Indeed, this is maybe a better wording of the problem: it is easier but not simpler. Easy is never important in a domain, except perhaps adversarial domains like marketing or sales. Easy is shortsighted. Easy is not economical because easy choices are not the right choice.
> If Word startup speed was important then more engineering resources would be expended to solve that problem
No this is a common misconception about economics: things do not at all behave rationally in supply/demand situations. People want the wrong things all the time, people act irrationally all the time, business don't know what value is all the time, large problems are ignored all the time.
> Unfortunately I think Blow, et. al, only give this question a shallow examination
I am not sure about this, maybe so. Either way, so do you: it is not at all about performance, but performance is the canary in the coalmine: it is a direct translation of the essential vs accidental complexity problem.
If I can serve you a webpage in 10ms, and you serve me that same webpage in 3000ms (excluding network latency), you are obviously solving that problem in a way that is an order of magnitude more complex than what I have proven is necessary to solve the problem. Either by involving more software, more hardware instructions, more infrastructure network hops, etc. In other words: performance is an easy objective metric for the complexity that lies behind (an otherwise opaque) piece of software.
This is all nice color on my commentary, but it fails to address the point of my two parent comments: programming is an economic activity. Sometimes a putatively more complex solution is the "right" solution for someone else, because it is easier to understand and implement, or fits within an existing workflow (it is more coherent and consistent).
Yes, if the performance delta is an order of magnitude, then yes, perhaps that is a problems for such software, but then again, maybe it isn't, because economics matter. Lots of people use 10+x slower languages because for loads of technical reasons, but also economic ones.
> In other words: performance is an easy objective metric for the complexity that lies behind (an otherwise opaque) piece of software.
Then presumably so is performance per dollar? Your argument can make sense, where the cost of a redesign is low (in cost of programmer education and experience and ultimately work), and performance benefits are high (10ms faster nets us 10x more dollars). That is -- Blow, et al/you, need to show us where these, "easy", if you will, 10x gains are.
Again -- I agree performance problems are real problems, and data oriented design is one way to reason about those problems, but Blow's marketing exercise/catastrophizing (see "Preventing the Collapse of Civilization") hasn't solved any problems, and is barely an argument without an analysis of what such incremental improvements cost.
This is not at _all_ my interpretation of Casey and JBlow's views. How did you arrive at this conclusion?
> They're more concerned about user experience and efficiency than they are about correctness.
They're definitely very concerned about efficiency, but user experience? Are you referring to DevX? They definitely don't prize any kind of UX above correctness.