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.
How does AI help with productivity? I’ve gotten so many false answers that I quit trusting it
Because it’s able to write boilerplate faster than a human. And because it’s able to perform refactorings that are not possible with IDEs or regex due to their lack of structure. Also because you can ask it to review your files and it does find bugs that would otherwise be missed at first. There’s a huge difference between vibe-coded slop and using the tools available to you effectively.
I use it all the time as a kind of brainstorming tool.
“I want to do X (and details), can you tell me what tools or algorithms are available to me? List their pros and cons and give me some comparison”
Or on a somewhat recent project of mine, I has to effectively stub an entire library (but didn’t have to be done well), so I just told AI “take this page (the docs) and generate empty function stubs from it”. It doesn’t need to be high quality since it doesn’t run, it’s just to fool the dotnet engine.
I also tend to ask AI to add logging to some functions, since it’s annoying to do and impossible to mess up.
Best answer I’ve read. I get why it’s used, I just don’t trust it because there’s got to be a catch as hard as companies are pushing it. It’s available for free, so we must be the product somehow