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Joined 3 years ago
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Cake day: June 21st, 2023

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  • 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.


  • You are potentially putting yourself at risk and others as well by making it public. I run a VPS in the cloud, so I would never, ever install this app on it, even though I firewall it to my own IP ranges. Your agent has access to the docker group and the tokens are sent and stored in plaintext, as per the SECURITY.md file. That means any leak of a token could lead to total hostile takeover of the server. Adding that you don’t understand the codebase yourself just pushes this further over the edge.

    Sure, I get it. It’s fun to build things. But I’ve always found it more fun to actually build things myself. These days, everybody is building these huge, monolithic codebases that nobody understands anymore. I don’t believe that it’s impossible to learn the things required to make a full application. True, you can’t learn everything, but that’s because there are so many different things that do slightly different things, and each week something new comes along. So you specialize a bit. But it’s fun to learn, and just telling an AI to do it makes you lazy.

    I don’t know, I don’t like it. I do use AI during development, but I throw smaller things at it, so I can actually look at the code and approve it every time something changes. In some ways, it feels similar to what I used to do, which was reading documentation and copying the examples in it. Now the AI agent can pull that by itself and insert it into the code. However, I built the structure and original foundation myself, so I keep a firm grasp of it. I personally enjoy creating good code more than I enjoy piling on features generated by the AI, but these days it seems quantity over quality is appreciated more.

    I don’t develop profesionally anymore, but I’ve read so many stories online about senior developers getting depressed and considering a career change, because their managers think it’s cool to let AI take over their old jobs, while they are left doing code reviews and undoing the fuckups that AI threw at them.

    Every week I see several new iOS app on Reddit for tracking your fitness, habits, reminders, expenses, subscriptions, and they are always introduced in the same way: “I grew tired of how x apps do y, so I built my own” while stating that “this is my first app.” And there’s always a $15/month subscription on it! The internet is filling up with cheap Chinese replicas of applications, except that they are not sold cheaply.

    People are writing their posts using AI, and then replying to everyone in the thread in Spanish, because why not? Let’s not even try anymore! Open source projects are in trouble, because the volunteer maintainers cannot get through the automatic AI slow pull requests on GitHub to get to the high-quality ones.

    I just really don’t like how the current landscape looks, especially in the future. The ensloppification of everything.

    End of rant. :)


  • 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?











  • Hahaha, that happened to me as well, although nobody followed me. I ended up in the marathon race, for which I hadn’t trained, so after 30 km (!) I had to finally give up and ride back in shame in the car they had at that station together with the others that didn’t made it.

    I did run the marathon a few years later.



  • Thaurintoxkcdxkcd #3184: Funny Numbers
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    4 months ago

    I’ve heard it said that 420 referred to the time 4:20 pm, when a group would come together to smoke, but that sounds contrived.

    420 can also refer to the birth date of Adolf Hitler, which makes 420 a bit darker than just “haha, smoke.”


  • Thaurintoxkcdxkcd #3184: Funny Numbers
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    4 months ago

    42 is from The Hitchhiker’s Guide to the Galaxy by Douglas Adams. They built an enormous computer called Deep Thought that was the most powerful ever built to calculate the answer to the Ultimate Question of Life, the Universe and Everything. The computer, after 75 million years of processing, came up with 42. The confused crowd that gathered to hear the answer did not understand. Turns out, 42 is the correct answer, but what is the question?

    So after that, they decide to build another computer, which is planet Earth, to figure out the question.

    It was still calculating when it was destroyed by the Vogons to make space for a hyperspace bypass.