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Discussion (48 Comments)Read Original on HackerNews
I couldn't do that with the proprietary system.
It seems like we'll see a lot more customized open source options or rapidly accelerated open source projects thanks to this type of thing. I'm really curious to see if something like LibreOffice stops playing catchup with Microsoft and actually passes it.
If the improvement rate of Omarchy for Linux desktop experience can be a barometer for anything, I'm extremely optimistic.
The #1 barrier for me to do 90% of the things that I've done for myself over the last 3 months for the prior 10-15 years has been time. I'm more than capable of downloading Frigate and figuring out how to customize everything, modify and compile the code to do what I want, but it would have taken me hours to days to do it. Now I can setup a couple of stacked /goal prompts overnight and get there. It's fantastic.
You also didn't give anything to opensource. This shows that AI can allow open source to be used in more cases and in more flexible ways, but in no way does this mean that open source (and especially the good high quality one) will explode.
If anything we saw an explosion of open source projects, most of them low quality slop, and even the ones that used to be high quality are slowly degrading.
At the same time, how different is that from much of open source today. Usage is dramatically higher than contributions. How many open source packages are included in every software project we build with. How many of those are any of us contributing back to?
Try replicating it with a couple of agents. Not the capabilities, but the performance, stability and dependability and sustainability as well.
Same is true for my favorite text editor on macOS, BBEdit, or IDE of choice, Eclipse. I can increase the number of examples.
These tools are valuable not because they are expensive. They are valuable, or indeed priceless, because of the polish they have. The small features make no sense for a beginner or how they cope when things get absurdly haywire.
Immediate features make us excited and they are easier to replicate because they are visible, but things like performance, dependability, error recovery or the small tweaks they have gone through in the last decade are not, and this is what matters.
We're exploring computing via AI again, and we act as that we did nothing in the last 60 years or so. Software and computing is much deeper than it looks at the surface, and we'll learn this in a very very painful way, again.
Changing oil is easy, it’s disposing of the oil that’s hard and why I don’t change my own oil and haven’t in years.
Not only you're making huge assumptions on AI's ability to build software useable by non-software engineers without professional input, you're also underestimating people's desire to pay just for convenience ("gee, I need a diet tracker, let me find a few people to help me vibe code it instead of paying $10")
I struggle to believe people are running vibe coded software replacements as daily drivers. Certainly not in a professional environment. They are all invariably interesting little projects at best.
Opensource is defined by it's licensing terms and the community around it.
Licensing terms that are now irrelevant, since anyone can use AI to rewrite it without the license.
> the community around it.
Open source communities are dying due to AI spam.
They're luddites refusing to get with the times
You are no better than Goebbels or Stalin.
I haven't used Sublime this week, it works as expected and I can't be happier
Oh, and it cost only $2 to build using DeepSeek
Then I told DeepSeek Harness to build a clone of itself in Swift, unbelievably it did!
So, apps are in a downward spiral towards zero value, everybody can do their own. The real value is in market penetration and the race is going to be fierce
For example, a few months ago I was looking to build a license detection tool, and within a few weeks with the help of Claude built a tool that was 20x better than the best open source one I found (I also open sourced mine as well: https://github.com/licensedetector/cli).
The biggest problem will be navigating through the glut of libraries that have been written in my mind -- 100 tools for the same use case, all with < 100 stars will make it hard to decide between. Also, if the user didn't write them thinking about anything other than their own use cases when releasing their library, the standard response will probably be for the agent or programmer to recreate the wheel yet again, only for their specific use case, making it now 101 tools for the same use case.
I don't know about everyone else's experiences, but the AI agent that I use every day at work would rather install a tool or library than spend tokens recreating software that already exists out there. As such, the argument doesn't make much sense to me, personally.
I wonder if that will spawn a new type of open source project. Where we have free exchange of ideas, without necessarily requiring the free exchange of code (which would violate a lot of Stallmann's ideas about open source, but might ironically be attractive to people who dislike AI training on their code)
If you want it to be corrrct, it's always easier to install some existing OSS and instead focus on whatever is unique to you.
You also need to be ok with your tool to do task A (you had an agent build) to work different from my tool to do task A (I had an agent build). Meaning we can’t reliably compare the output from those tools.
He uses open source and sells it out for cheap marketing. Clients take note.
AI sentence structure spills everywhere
Author (which seems like AI) has no idea what open source even means.
Maybe there will be fewer Open Source contributors. But maybe there will be even more of them with AI making the labor and maintenance easier. Either way I will still be publishing my dinky project, because it works for me, so maybe it'll work for someone else.