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We Accidentally Rewarded AI Spaghetti Code. Here is the Math We Used to Fix It. : AI-Slop Detector v2.8.0

We Accidentally Rewarded AI Spaghetti Code. Here is the Math We Used to Fix It. : AI-Slop Detector v2.8.0

via Dev.toKwansub Yun

πŸ”— Previous posts in this series: v2.6.3 β€” Now Live on VS Code v2.7.0 β€” Why We Built a Linter We Actually Use I'll be honest: I wasn't sure if I'd write this post. Not because there isn't enough to say about v2.8.0 β€” there's plenty. But because every time I say "this release is the big one," I feel a little self-conscious about it. So I'll just say this plainly: if your team is writing code with AI assistance, I genuinely think this tool is worth your time. Not because I built it, but because the problem it solves is real, and v2.8.0 finally solves it the right way. Here's the full story. 1. The Problem We Keep Running Into If you've been using AI coding assistants long enough, you know the smell of "AI Slop." Deeply nested functions that do nothing. Unused imports of tensorflow just to look like an ML script. Docstrings packed with "state-of-the-art scalable synergistic microservices" β€” for a function that literally just returns None . We built AI-Slop-Detector to hunt down and block t

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