Developer shares 'Slopify' — an AI tool that intentionally makes code messier to test how AI handles real-world codebases

A developer posted 'Slopify' on Hacker News, a skill (plugin) for AI agents that deliberately introduces common coding problems—duplicate code, inconsistent naming, unused variables—into clean codebases to simulate how messy real production code actually looks.

Instead of testing AI coding tools only on pristine textbook examples, Slopify creates realistic scenarios by injecting the kinds of bad habits and technical debt that real engineering teams accumulate over years, letting developers see whether their AI assistants can handle actual working conditions.

For teams choosing between different AI coding assistants (like GitHub Copilot, Claude, or ChatGPT), this tool reveals which ones stumble when handed tangled, undocumented code rather than perfect starter projects—a gap that matters because most real jobs involve cleaning up messy legacy systems, not writing from scratch.