Slopfix, a software house, is charging $10,000 [1] per week to refactor codebases and delete AI-generated code bloat [1, 2].

The service addresses a growing industry problem where rapid AI deployment leads to inefficient, redundant, or "messy" repositories. As companies rely more on generative AI to write software, the resulting technical debt can slow down development and increase maintenance costs.

Slopfix operates on a fixed-price model, charging $10,000 [1, 2] for one week of work to clean up these systems. The team focuses on removing the excess code that often accompanies AI-generated outputs, a phenomenon frequently referred to as "slop."

Ironically, the company employs the same technology that created the problem to solve it. The team uses AI agents to trim messy repositories by up to 65% [1], Tom's Hardware said.

This approach suggests a cyclical pattern in software development where AI tools are used both to accelerate production and to mitigate the errors produced by those same tools. By automating the refactoring process, Slopfix aims to return repositories to a more manageable state without requiring manual intervention for every line of code.

Industry observers have noted the irony of the service, with some questioning who will eventually fix the fixes provided by these automated agents [2].

“Slopfix charges $10,000 per week to refactor codebases and delete AI-generated code bloat.”

The emergence of a specialized market for 'AI cleanup' indicates that the speed of AI-assisted coding is currently outpacing the quality of the output. As enterprises integrate large language models into their production pipelines, the accumulation of technical debt is becoming a scalable problem that requires its own automated solutions, potentially creating a permanent loop of AI-generated creation and AI-driven correction.