Vibecoding: AI Rules Files Generator
By Karo
If You Build With AI, You Need This File. And The System That Generates It.
A Beginner-Friendly System for Replit, Cursor, Gemini & Claude Builders.
The Problem With Every AI Rules File I’ve Seen
AI Rules Files are instruction manuals for your coding agent.
They’re just markdown files that sit in your repo and tell the AI what conventions to follow, what technologies to use, what patterns to avoid.
You’ll see them under different names: replit.md, agents.md, cursor.md, claude.md, constitution.md - but they all serve one purpose: to give your coding agent a playbook.
Without them, agents improvise. With them, they follow your rules.
Since starting with AI-assisted coding, I’ve analyzed a small mountain of repos. Studied how skilled engineers structure their AI files. Read all the guides. Built my own. Buried most of them.
Here’s what I found:
Most respectable AI Rules Files are technically brilliant.
Almost all of them are missing something critical: beginner-friendly product thinking.
How And Why This System Works
Best practices: It preserves the best of the existing ‘rules for AI’ best practices, with a few additions tailored for beginner-friendly product thinking.
Environment-aware: it generates the right file for your actual setup - replit.md, cursor.mdc, whatever you’re using.
Teaching built in: every rule explains why it exists in simple language. You learn conventions in context, not from a textbook.
Product thinking and ripple-effect awareness: it shows the downstream consequences beginners without product-thinking experience usually miss:
If you add a trial period ➜ your billing logic + onboarding flow change
If you add notifications ➜ you’ll need scheduling + retries + preferences
If you add user-generated content ➜ you’ll need moderation flows + abuse checks
It also forces a clean Build Now vs. Build Later split so you don’t ship products that look like my Substack drafts folder: 37 features started, none finished.
For Agents And For Humans: You’ll notice the prompt is written in plain language, not JSON.
That’s intentional - it outputs a critical project file so I want to keep it bilingual, readable by both humans and agents.
Read the full guide
Works with: ChatGPT, Claude Code, Claude, Gemini
Tags: Vibecoding & Speccoding, Advanced Context Engineering, AI Fluency
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