AI Didn't Invent Slop – It Scaled It
The article discusses the misconception that AI has solely created sloppy code, arguing that poor coding practices have long existed among human developers. It highlights the panic surrounding AI-generated code while emphasizing that many teams lack effective measures to prevent sloppy coding. The author shares personal experiences working in environments where code quality was often neglected, illustrating the ongoing issue of 'human slop.'
- ▪The term 'AI slop' refers to the poor quality of code generated by AI, but sloppy code has always been a problem among human developers.
- ▪Many developers express concerns about AI-generated code, fearing it will complicate their jobs during production outages.
- ▪The article argues that the real issue is not AI's contribution to sloppy code, but rather the lack of reliable standards and practices to prevent it.
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blogAI slop? What about human slop?Sloppy code was never just an AI problemMay 20, 2026 6 min read AI LLM DevelopmentShareTwitter LinkedIn WhatsApp Telegram RedditContentsThe AI slop panicGet that job at an Indian MNCWhen quality becomes infrastructureIs Code Review enough?What are guardrails?What does this have to do with AI slop?The AI slop panicYou cannot talk to developers these days without the conversation somehow becoming about AI. Talk to any curious engineer and the conversation almost always takes the same turn: “AI slop”, how AI is still bad at writing code, how our jobs are perfectly safe because reading AI-generated code during a production outage will be a nightmare, and so on.To be fair, the complaint is not imaginary. AI can produce nonsense with excellent indentation.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Nadathurx.