**#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primary function of Vigil is to centralize the information and give users clear visibility of which applications are outdated, their current version, and the newer version available from several sources.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.
Yikes. That doesn’t give me confidence for something that needs root access to the Docker UNIX socket. Was this vibe coded? Do you understand the code and architecture of the application? You wrote you only started a few months ago. I don’t mean to be hard on you, but this kind of application has no business being insecure.
Hi Thaurin, I appreciate your feedback, I understand that security must be a top priority. I'm glad your pointing it out. If you have any advice on how to improve it, it'll be more than welcome.
If you want to learn to develop web applications, try to understand everything you do. Don't let the entire thing be generated by AI. Do small changes and commit those one at a time. Understand the programming language, your application's architecture, internet security, and so forth. Not understanding and then releasing it publicly and later asking for advice on how to improve it, isn't the way. You're still the maintainer of the project now, and will have to understand and approve any PR's people may send your way.
I mean, it can be addictive to just let AI throw everything together in a week without learning anything consequentual. But I wouldn't throw it on my server with root access to Docker. What's your real interest here? Learning or telling AI to make stuff for you?