I had the opportunity to request a review of my first post (which was flagged) following my email to the moderators of HN. I didn’t use AI for the codebase, only for .md files & there's no problem with that. My project was reviewed by moderators, don't worry. If the codebase or architecture was AI generated this post would not have been authorized and therefore it would not have been published.

How does this deleted fix_everything.sh fit in to your story?

https://github.com/whispem/minikv/commit/6e01d29365f345283ec...

I don't see the problem to be honest

Hmm. You doth protest too much, methinks :)

I thought that your “background in literature” contributed to the “well-written docs”, but that was LLMs!

No, I was helped (.md files only) by AI to rewrite but the majority of the doc is written by myself, I just asked for help from the AI for formatting for example.

I am not going to pretend to know what this person did, but I've definitely modified many things at once and made distinct commits after the fact (within 30s). I do not find it that abnormal.

Thanks a lot! I make distinct commits "every 30s" because I'm focused and I test my project. If the CI is green, I don't touch of anything. If not, I work on the project until the CI is fully green.

What does that mean? You got feedback from the CI within 30 seconds and immediately pushed a fix?

Yes, in minikv, I set up GitHub Actions for automated CI. Every push or PR triggers tests, lint, and various integration checks — with a typical runtime of 20–60 seconds for the core suite (thanks to Rust’s speed and caching). This means that after a commit, I get feedback almost instantly: if a job fails, I see the logs and errors within half a minute, and if there’s a fix needed, I can push a change right away.

Rapid CI is essential for catching bugs early, allowing fast iteration and a healthy contribution workflow. I sometimes use small, continuous commits (“commit, push, fix, repeat”) during intense development or when onboarding new features, and the fast CI loop helps maintain momentum and confidence in code quality.

If you’re curious about the setup, it’s all described in LEARNING.md and visible in the repo’s .github/workflows/ scripts!

So you read the CI result, implement a fix and stage + commit your changes in ~10 seconds? You might be superhuman.