Vibe Coding Prompts Analysis

---
title: "Leaked System Prompts of AI Vibe-Coding Tools"
source: "https://quasa.io/media/leaked-system-prompts-of-ai-vibe-coding-tools-a-deep-dive-into-cursor-bolt-lovable-and-manus"
category: "system-prompts"
tags: [cursor, bolt, lovable, manus, leaked-prompt, vibe-coding, analysis]
---

# Leaked System Prompts of AI Vibe-Coding Tools

A Deep Dive into Cursor, Bolt, Lovable, and Manus

A treasure trove for developers and AI enthusiasts has just surfaced online — over 6,000 lines of system prompts and configurations from some of the most popular AI-driven coding tools, including Cursor, Bolt, Lovable, and Manus. These tools, known for their ability to write code autonomously, have had their inner workings exposed on GitHub.

## What's Inside the Leak?

The leaked prompts offer a rare glimpse into the mechanics of AI tools that power vibe-coding — a trend where coding feels intuitive, collaborative, and almost effortless.

### Code Explanation in Simple Terms

These AIs are designed to break down complex code into plain language. Cursor, powered by Claude 3.7 Sonnet, uses prompts that prioritize clarity, ensuring users understand the logic without feeling overwhelmed. It's like having a patient mentor who avoids jargon unless necessary.

### Bug Interpretation and Debugging

The prompts reveal how AIs like Bolt and Devin approach bugs. Bolt, operating in a WebContainer environment, is constrained to browser-native code (like JS and WebAssembly) and explicitly warns users about limitations, such as the inability to use pip for Python dependencies. Devin, on the other hand, takes a methodical approach, gathering context and verifying fixes before reporting completion.

### User-Friendly Communication

Lovable and Manus shine in how they interact with users. Lovable, an AI editor for web apps, uses prompts that encourage a friendly tone, offering guidance without always modifying code. Manus focuses on structured responses, separating explanations from outputs to maintain readability.

### Prompt Engineering Goldmine

For anyone looking to level up their prompt engineering skills, this leak is invaluable. The prompts show how to chain instructions, handle constraints, and optimize AI behavior. For instance, Cursor's prompts emphasize grouping code edits into single tool calls to ensure functionality, while Bolt's guidelines highlight the importance of specifying environmental limitations upfront.

## Why This Matters

These leaks aren't just a peek behind the curtain — they're a masterclass in AI design and interaction. Developers can learn how to craft better prompts for their own projects, understanding how these systems interpret bugs or communicate with users.