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.
Yeah there are other signs too. Look at those commit messages, all vague, all perfectly capitalized. All with a nice long description with bullet points.
No one does that in a project they’re building for themselves.
Judging code quality by use of LLM in a documentation and commit messages is weird.
While I write all of my code myself and I’m against vibe coding etc., there is one place where I let a LLM write for me: readmes, commit messages and Javadoc comments.
I know how to write code but at the same time I’m shit at both my native language and even more so at English. So I let Language Models write natural language texts for me and just fix them when necessary. My documentation is more clear, grammatically correct and more detailed than in any of my previous projects, and I can focus on writing code.
And I wouldn’t say “No one does that in a project they’re building for themselves”. I do that for projects that only I will ever see, and OP shared his project with others, so it’s great that he included a clear documentation
I answered earlier, that I use AI and this is just a commit skill for an agent.