**#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primary function of Vigil is to centralize the information and give users clear visibility of which applications are outdated, their current version, and the newer version available from several sources.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.
I don’t think so. I think I could pull together something like this using AI and enough money/tokens, and without reviewing the code produced too much in a day, a few days for polish, after thinking about it. But I have the advantage of knowing backend, frontend, tech stacks, what works, etc. But I would have little to no knowledge over the code base and what it does outside of the visual.
In the end with these LLM models, you just describe what you want and they fill in the rest. No skill required, and that’s what scares me the most for our future.