And not only this, Jetbrains, which consumes tons of RAM, Chrome, and so on. When did we decide that resources are free?

Shoulda posted your link as a link instead of hiding it in text where we can’t click on it. If your blog post doesn’t stand on its own without an explanation you should rewrite it.

its not, software quality is better than ever, far more sophisticated than the simple programs of the past.

Oh dear, starting a conversation about software quality on HN.

Sadly, it won't fare well. You'll get a mix of flags and downvotes, along with "There's no problem! This is Fine!".

I feel that software has become vastly more complex, which increases what I call "trouble nodes." These are places where a branch, API junction, abstraction, etc., give space for bugs.

The vast complexity means that software does a lot more, but it also means that it is chock-full of trouble nodes, and that it needs to be tested a lot more rigorously than in the past.

Another huge problem is dependence on dependencies. Abstracting trouble nodes does not make them go away. It simply puts them into an area that we can't test properly and fix.

I might be going further than most, but my personal take is that it happened when Woz stopped being involved: https://lists.sr.ht/~vdupras/duskos-discuss/%3CZ4p_GHsw5arWG...

The rest is just a downhill trend.

Where I’m at, needless complexity is forced upon us. At the same time, we are constantly pushed to deliver new capabilities on timelines that are dictated to us, devoid of any grounding in reality. There is no room to even have the conversation about proper design or solving the right problems. It’s all about hitting arbitrary dates with “features” no one really cares about, while ignoring the foundation it all has to sit on.

The more loudly someone speaks up, the faster they are shown the door. As a result, most people keep their head down, pick their battles carefully, and try to keep their head above water so they can pay the rent.

One possible factor is the proliferation of LLMs to write code for us. I noticed that a few versions after Jetbrains implemented LLM integration, the bugs in their products skyrocketed. Also, in my own job, it's often tempting to use LLMs where I really shouldn't, by which I mean where I can't easily check the code to ensure that it's fully and subtly correct. For example, if I'm working with an unfamiliar library I might ask an LLM what the incantation is to do something, and then check it by reading the docs of each thing that it references. I regularly find issues when doing so, but a different developer who didn't check these docs may miss this and ship a subtle bug.

Human beings are ephemeral. They're born, they die.

Everything human beings create is ephemeral. That restaurant you love will gradually drop standards and decay. That inspiring startup will take new sources of funding and chase new customers and leave you behind, on its own trajectory of eventual oblivion.

When I frame things this way, I conclude that it's not that "software quality" is collapsing, but the quality of specific programs and companies. Success breeds failure. Apple is almost 50 years old. Seems fair to stipulate that some entropy has entered it. Pressure is increasing for some creative destruction. Whose job is it to figure out what should replace your Apple Calculator or Spotify? I'll put it to you that it's your job, along with everyone else's. If a program doesn't work, go find a better program. Create one. Share what works better. Vote with your attention and your dollars and your actual votes for more accountability for big companies. And expect every team, org, company, country to decay in its own time.

Shameless plug: https://akkartik.name/freewheeling-apps

Not really answering your question, but: One completely imo unnecessary category of sloppy software is electron apps. It's totally ridiculous how little resources are put into alternatives like tauri given how most dekstop apps run on electron, and we know how bad it is.

we keep buying the stuff

Spotify and Youtube Music on desktop are so bad (esp CPU) that I vigilantly shut them down the second I'm not listening to music which isn't something I've done wrt computer resources since I had a 10" Atom netbook fifteen years ago with 2gb RAM.

I'm sure they're no better on my iPhone but I don't even have the appropriate tools to gauge it. Except that sometimes when I use them, another app I'm using closes and I lose my state.

There's no pressure to care. Most users can't tell that it's your app that's the lemon. The only reason I know anything about my Macbook is because I paid for iStatMenus to show me the CPU/RAM usage in the global menubar that can quickly show me the top 5 usage apps.

This basic info should be built in to every computer and phone.

Short answer: because lock-in disables competition, and cloud-based business models enable almost perfect lock-in.

Software quality only matters when users can switch.

I think there’s often a misalignment of incentives when annual perf reviews are judged on feature work delivered not quality. Engineers who spend any time polishing or finding and fixing bugs wind up rated mid, while folks who quickly crank out mediocre or bad code that does something new are on a fast track for promotion. This creates a current in the whole org where PMs, engineers, managers, etc., are all focused on new things all the time. Any quality work has to accompany a new feature proposal for traction, and the quality items in that project will never get cross functional support like the new feature work does.

This resource allocation strategy seems rational though. We could consume all available resources endlessly polishing things and never get anything new shipped.

Honestly it seems like the another typical example of the “cost center” vs “revenue center” problem. How much should we spend on quality? It’s hard to tell up front. You don’t want to spend any more than the minimum to prevent whatever negative outcomes you think poor quality can cause. Is there any actual $ increase from building higher quality software than “acceptable”?

I think one big issue is that companies got massive. Apple's revenue, for instance, would make them the 40th largest country in the world by GDP - larger than Portugal, Hungary, Greece, and the overwhelming majority of countries in existence. And it seems to be essentially a rule that as companies reach a certain threshold of size, the quality of what they produce begins to trend downward until they're eventually replaced by an upstart who then starts their trek towards reaching the threshold of fail.

But in modern political and economic times where number must always go up, too big to fail is a thing and anti-trust enforcement isn't (to say nothing of the FTC mostly just ¯\_(ツ)_/¯ with regards to basically any merger/acquisition of big tech), the current batch of companies just keeps growing and growing instead of being naturally replaced. To say nothing of the fact that a lot of startup culture now sees being acquired as the endgame, rather than even dreaming of competing against these monstrosities.

I agree there is this problem, which is why I try to write software that is actually good (and use software that is actually good, if it is available). It is also one reason why I still use some DOS programs (even with emulation, which is slow, it is still better than the bad quality they have in newer computers).

I do not use any of the software mentioned in that article, and I also do not have that much RAM in my computer.

Well, Agile said that we don’t need testers (because everybody owns quality and slogans are magic). DevOps said we don’t have time for testers (because we reaaaally feel like shipping now). AI people said AI will do all the testing (because of course they did).

Nobody likes thinking critically and admitting that they haven’t achieved a responsible standard of care. If they aren’t forced to do it, why bother?

Quality is not immediately economically useful in a way an average MBA would understand and be able to communicate to shareholders. Also, we have spent many decades wrapping layer after layer of complexity on top of the cpu. That is starting to show, nobody really understands what’s going on any more.