The term "AI slop" has firmly entered the vocabulary of programmers, denoting the endless stream of low-quality and bloated code that is massively generated by modern neural networks in the pursuit of quick results. A team of enthusiasts called Slopfix has decided to capitalize on this global problem by offering a unique service to clean up projects from unnecessary lines. Their business model is built on a pay-for-results principle: clients can pay up to ten thousand dollars per project if the team can reduce the codebase by a specified amount. For example, if they manage to delete sixty-five thousand lines out of a hundred thousand, the contractors will receive the maximum fee, while a smaller reduction leads to a proportional decrease in payment, completely shifting the risks to the optimizers themselves.

The most ironic fact remains that to fight machine garbage, the creators of the service also use artificial intelligence, namely the Claude Code tool, which the specialists intentionally keep on a very short leash. The three developers, who possess thirty years of combined experience, claim that the main trouble with so-called vibe coding lies not in the very act of generation, but in the complete inability of neural networks to plan the project architecture in advance. AI agents deliver a working result here and now, but fill it with duplications and inefficient solutions, making further support of such code a nightmare. This problem has already become systemic: earlier, the authors of the popular PlayStation 3 emulator and the creators of the Godot engine massively complained that their repositories were literally drowning in meaningless patches from users.

Despite the apparent relevance, experts fairly note that automatic cleaning of machine code using other machines does not solve the root of the problem, which lies in the illiteracy of the users themselves. Programmers who rely on generative models often simply do not understand the logic of the code they have written and are unable to adequately support it, so removing duplicates only temporarily makes life easier but does not teach developers to think. The Godot engine ultimately completely banned the acceptance of neural network-generated patches, ceasing to trust the authors of such changes. The open question remains whether clients will find the desire to pay tens of thousands of dollars for such optimization, and whether there is a hidden bot behind this loud service that simply resells other people's ideas.