Deeds67
Deeds67 on Hacker News
Hey, I'm the main contributor to this repo. I do review the code - the reason why all of the commits are shown in a short time is just because of the way that I rebase on upstream Immich.
I have been working on this project for 6 months, and (contrary to what the Immich team posts every single time my project is mentioned) I do not blindly vibe code - or are folks saying that blindly vibe coding 40+ working features while staying in sync with upstream over 6 months is possible?
I really enjoy working on this project and have been building everything that I felt missing in my setup. If you try it out and aren't happy with it, every release ships with a script that reverts your db to Immich, so you're never locked in.
Cheers!
Pierre
I guess it depends on how you use it and what the expectations are. I'm definitely in the camp of working way more, but it's just because I enjoy using AI to build.
What are you debating here? I replied to a comment asking for examples of public work displaying that LLMs can 10x a human's output.
https://opennoodle.de/roadmap/
Look at what I built, these are not all simple designs.
Sounds like you're nitpicking on whether or not LLMs make you faster by saying that working on existing code is easier than starting from scratch? I think you've missed the point.
Just create a skill for it -> I call mine `babysit`. It spins up a subagent that polls it every x minutes and auto-fixes it until it's green. I already continue with the next task while it does that in the background
To be honest, the official superpowers/brainstorming skill already does TDD so well, I don't see that much of a need for this. TDD is definitely the way to go with agentic development.
I feel like AI has just amplified my output, since I already know what I want to do, I just don't have all of the time in the day to do everything myself. Check out what I'm able to achieve on my passion project in my free time (open source google photos alternative). I know exactly what I want, and I get AI to execute it for me:
https://opennoodle.de
I don't want it to end up in that repo anymore, hence the fork. I've got a growing community of people who have been eagerly awaiting this feature and a ton more that I built.
I definitely could write this by hand - the stuff I built in the last 10 years before LLMs was more complex than this - but theres no way I'm spending all my free time to slowly craft something if I can just use AI and get the same results much faster
I'm the person working on that fork. Yes, it has now diverged 200k+ lines, but half of that is specs, research and documentation and includes a month worth of work.
The comment in question was a small feature of about 1.5k lines changed and it was solidly tested.
I have a LOT planned (see the roadmap for a sneak peak
https://opennoodle.de/roadmap).
My first focus is sharing, search and discoverability.
The biggest issue is that I have thousands of photos but I don't have a good way of filtering by person, date, location, and finding exactly what I'm looking for. Basically browsing my photos like I would browse an online store like Zalando. Search for something and refine with filters.
In addition - I implemented S3-like storage. Makes it cheap and easy to host in the cloud.
Go ahead and make a feature request for it, sounds like something I could build soon :)
Thanks for the hint, I fixed it