Oh goddamn it, I'm using this and don't have an alternative lined up
this post was submitted on 08 Mar 2026
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I switched to Gotify when I ran into an issue where ntfy would delete old api tokens when creating more than 20. Only thing missing in Gotify is UniversalPush, other than that it feels actually more solid than ntfy to me.
Ai can be powerful and destructive at the same time. (note: I didn't use Ai to write this).
Ai coding can help a lot in accelerating software development. In the right hands that is. Meaning the software engineer still reviews the code. Test it. And takes responsibility. In those cases there is nothing wrong with using Ai for software development.
The problem is that some programmers are using AI without even looking at the end results. Just approves everything, commits, push and release. That approach is wrong and especially inexperience engineers might fail into this trap. So in this case the code has most likely a lot of duplicated code, full with bugs and other issues. Some issues you encounter it for the first time, since it wasn't tested etc.
In the latter story, you feel the impact. And the downsides of Ai. And only see the negatives of Ai. You might say it's Ai slop even. Or vibe coded. Which is correct.
Tldr: Ai can be very powerful in the right hands. It still requires a lot of human time and effort to get it correct. And if the engineer is too lazy then you feel the consequences. If you got an experienced software engineer that takes the responsibility of the code. Reviews it thoroughly. Test all corner cases, etc. Then AI can be powerful and helpful.
Agreed. I have a sense that, eventually, development communities will figure out etiquette and policies to govern LLM usage. But how do you enforce that kind of policy? Right now, it's essentially a judgement call by the maintainers. It's hard to catch sneaky LLM usage.
On the other hand, I think there are objectively good ways to use LLMs for software:
- High-level design and planning
- Technical Research (although this tends towards the most popular tech)
- POCs & rapid prototyping
- "Textbook" solutions
- TDD Red/Green development (where the LLM generates failing tests based on the high-level spec, and the programmer writes the implementation)
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Was this written with genAI? Even the TLDR is padded fluff of common talking points
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fuck
Acronyms, initialisms, abbreviations, contractions, and other phrases which expand to something larger, that I've seen in this thread:
| Fewer Letters | More Letters |
|---|---|
| DNS | Domain Name Service/System |
| Git | Popular version control system, primarily for code |
| IP | Internet Protocol |
| MQTT | Message Queue Telemetry Transport point-to-point networking |
| NAT | Network Address Translation |
| XMPP | Extensible Messaging and Presence Protocol ('Jabber') for open instant messaging |
[Thread #146 for this comm, first seen 8th Mar 2026, 10:40] [FAQ] [Full list] [Contact] [Source code]
Thanks for the heads up. I was considering trying ntfy for some home projects but now I will not.
Well now I certainly am glad I didn't migrate from Gotify as I've been slowly planning.
"but reviewed and heavily tested over 2-3 weeks by me. I created comparison documents, went through all queries multiple times and reviewed the logic over and over again. I also did load tests and manual regression tests, which took lots of evenings."
This is the way.
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Send push notifications to your phone or desktop using PUT/POST
I'm sorry, how many lines of code for that?
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I have the same concern..
Damn, I guess I'll stick to the older release for now. Hopefully a viable alternative/fork comes around.
I meant to ask already: what is the actual technical difference between mqtt and ntfy? For me it feels pretty similar technique, just one is used for push service and the other not. So it feels like reinventing the wheel. Maybe somebody here can enlighten me?
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