| ▲ | jt2190 20 hours ago | |||||||||||||||||||||||||||||||
I don’t think this is anything new, really: Businesses have been running software that we’d call a “big ball of mud” [1] forever. A common way to market to these firms is to be very easy to find when their software starts to have serious issues. | ||||||||||||||||||||||||||||||||
| ▲ | zie1ony 12 hours ago | parent | next [-] | |||||||||||||||||||||||||||||||
Our outcome is also AI-generated (or AI-assisted) code. It is not possible to rewrite 100k loc in a week. Where our stills are is refactoring at scale with help of agents. Basically, software engineer knows better what prompt to put, and when to redo the process or go different path. | ||||||||||||||||||||||||||||||||
| ▲ | TacticalCoder 19 hours ago | parent | prev [-] | |||||||||||||||||||||||||||||||
> I don’t think this is anything new, really: Businesses have been running software that we’d call a “big ball of mud” [1] forever. Well but something really is something totally new. Github went from x commits per year in 2025 (when AI-slop was already being pushed to Github) to the same number of commits in four weeks in 2026. 2025 compared to 2024 was already something like 15x. It's never happened in the history of computing that so much new code was produced so quickly. My bet is we'll see much more of this. And these aren't going to be 100% AI-pilled companies solving these issues but companies like the one in TFA: experienced devs using the help of LLMs to fix slop. My other bet: slop shall outlive COBOL and dwarf COBOL's legacy big times. | ||||||||||||||||||||||||||||||||
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