this post was submitted on 05 Apr 2026
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**#A quick edit to address something important and provide a disclaimer: **

Thank you all for your feedback! This project was "vibecoded" with Cloude AI and serves more as a "proof of concept" for what could be achieved with AI assistance. I'm just a tech enthusiast, and I'm excited to continue exploring new possibilities. I understand there’s a real concern about “AI Slop,” but that's exactly why I’m sharing this project with you all so that experts who are interested in the idea can offer guidance or even help improve it.

I’ve noticed that many people with home labs prefer to update their applications manually instead of relying on other apps that automate the process. Often, they have to check each one individually. That’s where Vigil comes in. The primary function of Vigil is to centralize the information and give users clear visibility of which applications are outdated, their current version, and the newer version available from several sources. This way, you can decide what and when to update.

To be honest, I hope it ends up being useful to others as it is for me.

If you have a few minutes, I’d really appreciate you trying it out and leaving a review or suggestions on the repo or even here. I'd do my best to answer most of the comments.

REPO: https://github.com/kumucode/vigil.git

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[–] 1step@lemmy.world 1 points 5 hours ago

Hi ramielrowe. You made great points here. I'm definitely stepping out of my area of expertise. I also understand that when comes to LLM we must not blindly follow/accept things and having some previous knowledge on the topic you intend to work with, gives you much better results and allow you to spot inconsistencies or more importantly, mistakes. I'm aware of the "positive feedback" that is pretty evident specially on ChatGPT, that's why I try my best to challenge it. I completely understand your analogy on "cognitive debt". It's pretty similar to a reinforcing learning process on humans. If you teach people the "wrong way" and keep reinforcing that without any correction, you know the results.

Regarding the code quality, I'm pretty sure it isn't top notch, that's why I'm sharing it here so people who really understand it can point out the flaws and suggest improvements. What I've learned so far from the feedback in the comments, is that I need to improve the way I communicate my ideas and the purpose of the application. Since this is my first project, and I'm not very familiar with the dev & tech community, I'm learning the do's and don'ts along the way.