I see. Do you have any examples where the design was just egregious?
From my experience generating db models/SQL schema at my last job, it did a fine job based on existing patterns and the outlined requirements. Point to note, we did optimise our AI prompts and LLM rules a lot, to the point we were able to get end to end unit tested, functional PRs out rather quickly
Hey HN, this was a post I wrote back in February on my experience trying to setup truly open-source notes apps, and what I ended up choosing after some popular choices didn't end up working out for me.
I forget that I've set it up as a PWA on my iphone many times and use apple notes, but that's also fine since it's convenient to use. But anything semi-relevant goes to my SilverBullet instance.
The vim mode on the desktop version makes the mobile version feel 'gutted' through no fault of the app itself- its more a proof of how comfy vim feels (even though I'm a perennial VIM noob).
A key thing to note, git periodic sync (which backed up notes to a configured git repo) was removed as part of the v2 version. That's a bummer although there's a thread[1] on the forums with snippets for a cron job? setup.
I just haven't explored it yet cause I'm lazy, gotta do it sometime.
Hope someone finds this thread useful, and can maybe spark discussion around some new shiny apps.
Side note, does anyone find themselves drifting back to the good ol apple notes or whatever your phone ships with?
I find myself exhausted after a time, when I have to switch between 2-3 apps and many more tabs trying to co-ordinate things or when debugging issues with a teammate. And this is with me working professionally for only ~3 years.
I think the tools are nice to use early on but quickly become tough to manage as I get caught up with work, and can't keep up with the best way to manage them. Takes a lot of mental effort and context switching to manage updates or track things everywhere.
From my experience generating db models/SQL schema at my last job, it did a fine job based on existing patterns and the outlined requirements. Point to note, we did optimise our AI prompts and LLM rules a lot, to the point we were able to get end to end unit tested, functional PRs out rather quickly
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