Ich weiß, ich seh an den Bahnen hier Werbung für Jobs bei der DB. Wenn dann eine Bahn ausfällt, die nächste verspätet ist und auf der Seite mit einem zuverlässigen Team geworben wird krieg ich allerdings das Schmunzeln…

(Is mit klar, dass das nicht immer eure Schuld ist, wenn ein Depp das mit dem “Türbereich freigeben” partout nicht blickt oder ein Vertragspartner Mist baut oder so. Die Ironie ist halt trotzdem amüsant.)

Ich wollte damit eher ausdrücken, dass ich die Leute wertschätze, die mich jeden Tag zur Arbeit, heim, in die Stadt oder sonst wo hin bringen.

Ich liebe deinen Job auch <3

I never push to production 😎

I give my users a dev preview and ask for feedback before finalising, they never respond and I find out later they’re using it daily.

I once worked on a codebase where the reset function had a hardcoded default password

pay off the national debt

As if

I wish I could share your optimism, but we’re so deep in the M$ ecosystem they’ve got us by the balls. Given how conservative our industry is and that we’ve got about 80k people, I think our chances are slim.

Right thing for the wrong reasons is still the right thing. We’ve got bigger fish to fry than him.

For now.

I think spoilers on Lemmy use triple colons:

::: spoiler Spoiler title
hidden content
:::

Anyways, that’s why I replaced windows as the OS on my computer.

Most of my Windows troubles went away with that.

(My work laptop runs Win11, no choice there unfortunately)

Ah yes, because people always have a choice. There’s no way anyone competent would work at a larger company issuing devices with the company standard system running proprietary software that only functions on that system.

Drab + Dull = Droll

The math checks out

Territorialism. He thinks he can just demand Denmark to sell Greenland to him, but neither Denmark nor Greenland are having any of it. Big Baby didn’t think he’d get pushback and does what he does best: get pissed.

I think the point of the character is to be over the top annoying. In that case, hamming it up is good acting, because making the character even more annoying is exactly what you want.

Basically, they did a great job acting an awful character, which is a compliment.

Aren’t they fractions rather than floating point decimals?

I’m thankful I don’t do software dev (I did two years as a working student, that was enough), but working in Data Engineering / Analytics* doesn’t make things better. I’ll overengineer the database, ETL and reporting, define a dozen measures I’ll never use, prepare a dozen ways to slice and view the data I’ll never look at and build a whole data warehouse I’ll never look at.

Eventually I remember that it exists, realise that I’ve answered all my questions by directly querying the database, except for “What am I running out of?”, which I answer by looking in the cabinet because I never update my inventory anyway.

*I don’t even know where the line is anymore and how much of my responsibilities is on either side of it

“6 for the beer, 9 for the longdrink, 4.20 for the water… That’s a total of 694.20 please.”

He uses a pencil, paper and a mechanical calculator to tally up the bill, which I absolutely understand when your career is in IT.

When the alternative is either having to search, evaluate, compare, select and configure an application for that purpose that you’re never quite happy with, or to scope, design, develop, test, deploy, maintain, eternally find things you wish you’d done better, refactor, realise you’re spending your free time on doing more of your job, regret your life choices, resolve to only make this last improvement and then call it good enough, renege on that promise to yourself a week later, burn out, curse that damn app for ruining your hobby…

…yeah, using the most trivial low-tech solution possible does look rather sensible.

My new data structure:

Given a heuristic for determining data quality, it homogenises the quality of its contents. Data you write to it has pieces exchanged with other entries depending on its quality. The lower the quality, the higher the rate of exchange.

If you put only perfect data, nothing is exchanged. Put high quality, you’ll mostly get high quality too, but probably with some errors. Put in garbage, it starts poisoning the rest of the data. Garbage in, garbage out.

“Why would you want that”, you ask? Wrong question, buddy - how about “Do you want to be left behind when this new data quality management technology takes off?” And if that doesn’t convince you, let me dig around my buzzword budget to see if I can throw some “Make Investors Drool And Swoon”-skills your way to convince you I’ll turn your crap data into gold.

I think it’s a symptom of the age-old issue of missing QA: Without solid QA you have no figures on how often your human solutions get things wrong, how often your AI does and how it stacks up.

You mean 30 years ago?