Kissaki @ Kissaki @programming.dev

[@GitHub](https://github.com/Kissaki), [website](https://kcode.de/)

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27

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451

Joined

2 yr. ago

At least that's a testament to neutrality - in a shitty way.

fake internet points

Your take is a valid one, but not very fair.

Points are a reputation system. People who are contribute and provide quality get increased trust and power.

It's not "fake". It's a designed system of points with meaning.

A casual surfer not being able to vote is by design. Which has a cost of missing out on valid votes, but the benefit of evading trolls and misuse.

By responses you mean to include comments and moderation, not just answers?

It's sometimes there, but - from the [limited] use I have - I would certainly not qualify them as "most".

What do you mean by pissy? What do you find so pissy?

I asked 6 questions on StackOverflow. 3 in 2010 and 3 in 2011.

For context; I gave 183 answers.

I can agree with most questions having already been asked.

Moreso, most questions on StackOverflow can be answered with some context knowledge or some reading of official docs or references, or trying out. I've not felt the need to ask anything.

Any query can have zero or more pipe operators as a suffix, delin-
\ eated with the pipe character “|>”.

"delineated"? Looks like a typo of delimited?

Or is that a play on neat and delimited?

I find LINQ query syntax less readable than SQL. I like LINQ method syntax for simple, linear queries.

The linear method syntax is somewhat like the idea of piping SQL operations.

CTRL+ALT+<, SHIFT+<

🙃🤡

English source code is a universal language.

I've never seen a need for localization beyond domain terminology. And I think it would be a huge detrimental.

To implement it would be unnecessary significant complexity. Effort better spent elsewhere. And for programmers it'd be confusing. Think code snippets, mixing content, and the need for reserved word expansion or exclusive parsing scopes that would be even more complex and confusing.

It good

The current GitHub outage shows that most Git users just can’t live without a commercial entity stewarding their code though.

I don't see it. How does downtime show that?

Countries' environments may vary. I didn't have to go into debt for my Bachelors.

What do you mean by professional?

Be paid, even if really bad, and a net negative for the projects and companies you're involved with? Then it's certainly possible.

Study, get a bachelors degree

That's not 6 months though

The Roast my profile in question.

Your 105 repos resemble a crowded yard sale, filled with half-baked ideas and a couple of dusty gems.

lol

That's so sweet, I love it!

it's amazing to see the breadth of projects you've worked on and shared with the world!

😊

It’s been shown that AI isn’t at a level where using it for anything isn’t beneficial, in fact it’s the contrary.

Maybe you're thinking of something more specific than me, but I don't think that's the case. What is being called AI is a broad field.

I think what Opus was able to implement for high packet-loss voice transmission is exceptional.

I also find Visual Studio in-line-inline-completions to be very useful.

That's far from the typical Chatbots and whatnot though. Which often suck.

At work, we recently talked about AI. One use case mentioned (by an AI consulting firm, not us or actually suggested for us) was meeting summaries and extracting TODOs from them.

My stance is that AI could be useful for summaries about topics so you can see what topics were being talked about. But I would never trust it with extracting the or all significant points, TODOs, or agreements. You still need humans to do that, and have explicit agreement and confirmation of the list in or after the meeting.

It can also help to transcribe meetings. It could even translate them. Those things can be useful. But summarization should never be considered factual extraction of the significant points. Especially in a business context, or anything else where you actually care about being able to trust information.

I wouldn't [fully] trust it with transforming facts either. It can work where you can spot inaccuracies (long text, lots of context), or where you don't care about them.

Natural language instructions to machine instructions? I'd certainly be careful with that, and want to both contextualize and test-confirm it works well enough for the use case and context.

A competing product.

I'm glad I work on software that has value, where I control the entire ecosystem, and where my contributions are significant.