…does that make it better for you?

More like they’re going to be hit with generational debt due to leaking secrets.

I’m thinking about finding an alternative to ntfy. The maintainers are increasingly vibe coding it.

There’s also an image for Copyparty if you’re already hosting stuff as containers. It’s super handy.

For some small things, code from scratch by the LLM is really nice.

For example, I’ve had the LLMs generate one page HTML dashboards to show data from Postgres over REST. They look nicer than what I could produce. They use vanilla JS with no libraries to maintain, and they handle all of the fiddly UI crap you need to do filtering and formatting.

But for larger, more important projects, I can see that being more of a downside. For instance, code from scratch is going to have vulnerabilities, but no one is out there scanning your code for those vulnerable and reporting them, like they are for libraries.

And also, code from scratch is so much more to maintain. The tech debt will be insane.

This is very different from my experience, but I’ve purposely lagged behind in adoption and I often do things the slow way because I like programming and I don’t want to get too lazy and dependent.

I just recently started using Claude Code CLI. With how I use it: asking it specific questions and often telling it exactly what files and lines to analyze, it feels more like taking to an extremely knowledgeable programmer who has very narrow context and often makes short-sighted decisions.

I find it super helpful in troubleshooting. But it also feels like a trap, because I can feel it gaining my trust and I know better than to trust it.

I hate how these kinds of things are always framed. The implied message is always that “AI” can autonomously decide to go of the rails. Similar to the Moltbot craze. The agents have to be told to go do the things they do. They don’t have free will.

Using a combination of network science and large language models, the same underlying technology that powers systems like ChatGPT, the researchers created and monitored synthetic bot agent personas, their posts, and their interactions with one another, simulating what a coordinated AI-powered social media network might look like.

So yeah, LLMs can used nefariously to great effect. They’re essentially more sophisticated bots.

No, what I’m looking for is an example of a project in Voiden that is mature. As-in, a project that a team has been collaborating on for a while.

So how does a team structure their project in Voiden efficiently.

I installed it yesterday, and the biggest issue I’m having is envisioning what a mature project would look like in it. I have not gone looking for examples like that, but if you know of any, i’d love to see some.

I would use Debian for servers, except that the version of Podman (at least on Debian 12) was old enough that it couldn’t do quadlets. So I went with Fedora.

This is an extreme understatement. Microbreweries started popping up in the US in the 80s. I would argue that these days, the US makes the best beers.

I googled beer brewing competition and this was the top result https://www.worldbeercup.org/winners/award-winners/

Notice it’s completely dominated by US breweries. Now, I’m no expert, but it seems like a legit competition. I don’t know how else to substantiate my position.

Our off shore contractors produce some of the worst code. But it’s impossible to get work done and also be vigilant enough to reject their bad pull requests. So basically you’ll end up looking a code one day that is godawful and think, “this is off shore”. And yep, git blame tells you you’re right.