Expecting people to know what makes an app store safe is like expecting people to know how to change their spark plugs. It’s a niche skill. The only people who are going to know are into the hobby.
Your average person does not have “computers” as a hobby.
In the same vein, I’m not going to give you shit that you don’t know how to change your spark plugs off your head even though it’s so basic.
A good reliable system pretty much has error handling every step of the way, down to crash-first programming at the very end.
It’s more possible to recover from errors higher in the system but you can’t predict every problem so you need layers of error handling at increasingly lower levels with different recovery expectations.
Insurance is not free money. Hypothetically say I was losing a car once per month… then my premiums would reflect that. The purpose of insurance in that hypothetical would be to insure against losing 2 cars per month but I would be paying for that first lost car in full because at that point, it’s not a risk… it’s a consistent monthly cost.
I own the Aranet4 sensor (highly recommend) and I’m in the US with not particularly great sealing and my sensor will read a 600ppm jump in a matter of 30 minutes.
I basically have to keep the window in my bedroom open 24/7, even when it’s cold outside, just to keep my CO2 levels in the healthy range otherwise it will be pushing 2000ppm in the morning.
Practically speaking, if you have to involve any libraries or tooling one day, if you stuck to standards or de-facto standards, you save yourself some pain because you got a lot interoperability for free.
I would be more down if it wasn’t tied to the generation of phone.
Also I’d love a keyboard with more buttons personally. I know I’m in a tiny minority here but I get ~70
WPM on an iPhone keyboard but if I have to do symbols
or anything it goes down to like 4.
I know you can buy a separate Bluetooth keyboard but then you need to rest your phone and stuff.
If anyone wants to build this by themselves, I recommend using an optimization solver library like OptaPlanner. It basically implements standard optimization algorithms you can read in academic papers (which are interesting to read!) so you don’t have to.
You can probably write a basic planner in under an hour with all the constraints you can think of. You can just continue to fiddle with the constraints and weights until you are happy without having to worry about duplicates or errors.
I’ve used it to solve cost optimization problems for companies I’ve worked with and it works really well.
13 GB a lot? What year is it? 1995? If Apple or Google wanted to add 1 TB to their phones, it wouldn’t cost them anywhere near what they charge us to add 256 GB.
I used to work at a medium-sized non-tech company (<200 employees) that had a fair amount of IT staff. Stripe is expensive asf and we always talked with banks and payment processors directly.
We never stored CVVs or any of that insane nonsense though. Our systems only ever saw CC info in transit but they were never stored on-site.
God I miss that company. Working with smart people is great.
It gave me an intuitive understanding of state machines and idempotency is one solution to transitions.
If you start with State A and a call changes it to State B, what does running the call again do? A->B? But you’re already at B. Shit’s going to break. Redesign your system.
The only reason I knew about idempotency is because growing up I was a little shit and I learned that you could break a LOT of electronics by getting it to do a second thing midway before finishing doing the first thing.
If it had a screen and buttons, I would try to break it.
So I started striving for highly reliable systems not because there are professional bad actors out there or spammers or to achieve high performance… but because there’s another little shit out there.