Anti-AI-Slop: My prompt strategy for Claude Code and Cursor

A developer has published a prompt strategy for Claude Code and Cursor that enforces strict stylistic constraints to eliminate generic AI-generated code, or 'slop.' The approach uses a set of design rules—no fluff comments, dense logic, precise naming, no over-engineering, and a specific dryness rule—to force the AI to produce lean, professional-grade code that resembles what a senior engineer would write. The author reports that applying these constraints has significantly reduced refactoring time by removing redundant try-catch blocks and other 'AI-isms.'

Anti-AI-Slop: My prompt strategy for Claude Code and Cursor Generic AI code often feels like "slop"—it's overly verbose, uses predictable naming conventions, and adds unnecessary boilerplate that makes a codebase feel bloated. I've been implementing a "Hallmark" design skill essentially a strict set of stylistic constraints to force Claude Code and Cursor /en/tags/cursor/ to write lean, professional-grade code that doesn't look like it came from a LLM.The goal is to stop the AI from being "too helpful" which usually means too wordy and make it adhere to a specific, high-density engineering style. Here is the prompt logic I've integrated into my .cursorrules and Claude /en/tags/claude/ Code system prompts to kill the slop: Anti-AI-Slop Design Constraints - No fluff: Eliminate redundant comments that explain what the code does e.g., avoid // Initialize variable x . Only comment on why a non-obvious decision was made. - Dense Logic: Favor concise, idiomatic patterns over expanded, "beginner-friendly" structures. - Naming: Use precise, domain-specific terminology. Avoid generic names like data , info , or result unless they are truly generic. - No Over-Engineering: Do not suggest adding "future-proof" abstractions unless specifically asked. Write the simplest code that solves the current requirement. - Dryness: If a pattern repeats twice, abstract it; if it repeats three times, create a utility. Never more, never less. Applying this to a real-world AI workflow has significantly reduced my refactoring time. Instead of spending 10 minutes stripping out "AI-isms" and redundant try-catch blocks that don't actually handle errors, the output is closer to something a senior dev would actually commit. If you're doing a deep dive into prompt engineering for your IDE, try adding these constraints to your project-level config. It shifts the LLM from "tutorial mode" to "production mode." Next AI Efficiency vs. Job Cuts: The New Tech Reality → /en/threads/3725/ All Replies （5） M Solid skill to have right now. I'm definitely not the only one tired of looking at the same boring layouts, even when it's just for internal tools. A little visual variety goes a long way. 0 D Has anyone actually managed to get this or Impeccable working? I'm still seeing a lot of slop on my end. I'm sure there's a trick to the settings—would love to see some examples if anyone has cracked the code 0 S Oh look, a curated gallery of "AI aesthetic" screenshots. Honestly, only Cold Snap and Mend Assembly don't look like total slop. Everything else is just the standard Sonnet starter pack; I've seen this exact same layout in a thousand other "modern" websites this week. 0 S Fair point, but how do you actually distinguish "slop" from a functional UI? It all looks the same to me. 0 J Honestly, the "corporate chaos" aesthetic is the only thing that feels authentic anymore. I've seen some of the most critical warnings in my office written exactly like that—marker on a scrap of paper—and they're the only ones people actually pay attention to. 0