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submitted 4 months ago* (last edited 4 months ago) by terraincognita@lemmy.world to c/selfhosted@lemmy.world

My wife needed a cycle tracker. Everything out there was either Flo (which got sued twice for sharing health data) or an abandoned GitHub project. So I built Ovumcy. Single Go binary, SQLite, Docker-ready. No analytics, no third-party APIs, no cloud. Your data stays on your server. Features: period tracking, symptom logging, predictions (ovulation, fertile window), statistics, CSV/JSON export, dark mode, Russian and English. Just pushed v0.2.5. Looking for feedback from real users.

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[-] sonofearth@lemmy.world 32 points 4 months ago* (last edited 4 months ago)

You should add a disclaimer stating that you have used an LLM. I have done so for a tool I built with an LLM that I needed, because I don’t know jackshit about coding and I am not gonna pretend I do.

[-] chicken@lemmy.dbzer0.com 24 points 4 months ago* (last edited 4 months ago)

because I don’t know jackshit about coding and I am not gonna pretend I do.

But if OP does know and applies that knowledge to what they are doing, it's not the same thing and doesn't make sense to have the same disclaimer.

[-] terraincognita@lemmy.world 13 points 4 months ago

Partially agree, but I do know how to code and use it as a tool.

[-] terraincognita@lemmy.world 0 points 4 months ago

You can see that I use some of metrics, like test coverage, estimates and so on to prove its validation as potentially serious project, that will grow from a pet one.

[-] Tibi@discuss.tchncs.de 9 points 4 months ago

Testcoverage by ai generated Tests is close to worthless. "Tests are only as good as the person writing them"

Did you generate your tests?

[-] terraincognita@lemmy.world 1 points 4 months ago

I agree with you, therefore I also need contributors for that. It is difficult to run this on my own, as I have basic in coding, but not a tester, so I have to use agentic workflow to check after it was generated, so it is not just like hiding sh*t.

[-] Zak@lemmy.world -4 points 4 months ago

Why?

It makes sense to try to give users an idea of how robust a project is, but the exact details of the tools involved in its creation rarely add much to that. It gets a little weird with LLMs because they allow someone with no programming skill to create software that appears to work, which ought to be disclosed; "I don't know what I'm doing and I asked a robot to make this" does indicate unreliable code. A skilled developer having an LLM fill in some extra test cases, on the other hand can only make the project more robust.

this post was submitted on 07 Mar 2026
547 points (95.7% liked)

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