That is why we started Slopfix, a software house focused entirely on refactoring AI-generated …

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. [1] https://www.laputan.org/mud/

>I am sharing this because cleaning up after agents with 1M token context is a real business for engineers. Curious what HN thinks. Its the same as it ever was. Cleaning up after cloud migrations, cleaning up after crypto integrations, cleaning up after LLM tokenmaxxing. I think people are deluded if they tell you LLMs will replace humans.

its no difference than US team fixing slop written by outsource company from India. where do you think LLMs learn slop code from?

The copy on your website itself kind of reads like LLM slop (eg. "One week. Three senior engineers. $10,000"). You may have written it yourself and marketing copy just tends to look like this, but it doesn't inspire confidence that your service will actually improve my code.

I wonder how you do it when faced with what are undoubtedly poor functional, regression, and unit test coverages.

Are clients not interested in learning how to build scalable software themselves? Just curious about it, since it's not mentioned in your services.

If unclogging the sewers is a way how the deluge of AI slop can create new work, then more power to you! It's one more element that makes it even harder to write satire that is more absurd than reality.