alt Hacker NewsIt's not particularly revelatory to point out that this project has been generated largely by LLM (claude most likely, given the CLAUDE.md in the repo).
Also looks like a bit of introspection has happened ... https://github.com/duanebester/gooey/blob/main/docs/architec...
I wonder if this is just what we get now: low quality code, expressed rapidly. We are excited by the promise only to be disappointed by the reality of the implementation.
There are still a few new things around that are carefully and thoughtfully developed and put out into the world. zig itself. MitchellH's ghostty. And there's still all the older foundations of really wonderful, robust, software created by people like Linus Torvalds and couple of generations of open source devs, that applied great skill, ingenuity and hard work to produce the very best software.
But I fear that I'm in for a period of lamentation as we get wave after wave of promising sounding developments, but where the reality is low quality, LLM generated crap that you really shouldn't use if you want secure, stable performant, production-ready software.
Seems like perhaps we've been through a golden age of really great software and that now it's coming to a close.
(edited to fix spelling)
Replies
To be fair, "excited by the promise only to be disappointed by the reality of the implementation" describes ~95% of my experiences with all software over the last 20 years. In fact only a few exceptions really come to mind - git, treesitter, ffmpeg, and sqlite.
We're in the messy transition period where our old indicators of a promising GitHub project are too easily replicated by someone letting Claude Code run for a few days.
A year ago it would have taken someone months of nights and weekends effort to get this much code up and running. That person would have developed a good intuition for the architecture and where it should go.
Now Codex or Claude can bang it out in a couple days. You can try to have it do spec documents, code reviews, and cleanup passes but with today's tools these projects reach a point where it's just a swirling mess of pieces duct taped together in a way that passes tests. In my experiments, you quickly reach a point where the usable context depth (which is less than the 1M limits) keeps overflowing before you can get usable refactors in, and you're just going in circles. I know it's theoretically possible to avoid these problems, but in practice you get spaghetti projects like this.