PromptLint - AI Prompt Refactoring Tool

Write better prompts, get better AI responses! Instantly transform rough ideas into polished, structured prompts that unlock the full power of ChatGPT, Claude & LLMs.

✨ What is PromptLint?

PromptLint is a VS Code extension that helps you write better prompts for AI systems like ChatGPT, Claude, and other LLMs. It takes your rough, unstructured prompts and transforms them into clear, well-organized prompts that get better results.

🎯 Key Features

• One-Click Refactoring - Select any text and instantly improve it
• Interactive Panel - Dedicated UI for writing and refining prompts
• Multiple Output Options - Replace text, open in new tab, or copy to clipboard
• Context Menu Integration - Right-click to refactor selected text
• Supports Multiple LLMs - Works with OpenAI, Claude, and compatible APIs

📸 Screenshots

Interactive Prompt Editor Panel

Right-Click Context Menu

🚀 Getting Started

Installation

1. Open VS Code
2. Go to Extensions (Cmd+Shift+X / Ctrl+Shift+X)
3. Search for "PromptLint"
4. Click Install

Setup Your API Key

1. Open VS Code Settings (Cmd+, / Ctrl+,)
2. Search for "PromptLint"
3. Enter your OpenAI API key in the Api Key field
4. (Optional) Change the model or endpoint

💡 Tip: Get your API key from OpenAI Platform

📖 How to Use

Method 1: Interactive Panel

1. Press Cmd+Shift+P (Mac) or Ctrl+Shift+P (Windows/Linux)
2. Type "PromptLint: Open Prompt Editor Panel"
3. Enter your rough prompt in the text area
4. Click "✨ Refactor Prompt"
5. Copy the improved prompt!

Method 2: Refactor Selected Text

1. Select any text in your editor
2. Either:
   • Press Cmd+Shift+P → "PromptLint: Refactor Selected Prompt"
   • Or Right-click → "PromptLint: Refactor Selected Prompt"
3. Choose where to output:
   • Replace Selection - Replaces the selected text
   • Open in New Tab - Creates a new file with the result
   • Copy to Clipboard - Copies for pasting elsewhere

⚙️ Configuration

Using with Claude

To use with Anthropic's Claude:

{
  "promptlint.apiEndpoint": "https://api.anthropic.com/v1/messages",
  "promptlint.model": "claude-3-sonnet-20240229"
}

🔄 Example

Before (Raw Prompt)

write code for login

After (Refactored by PromptLint)

# Role
You are an expert software developer specializing in authentication systems.

# Task
Create a secure user login implementation with the following requirements:

## Requirements
- User authentication with email/username and password
- Input validation and sanitization
- Secure password handling (hashing)
- Session management
- Error handling for invalid credentials

## Constraints
- Follow security best practices (OWASP guidelines)
- Include comments explaining the code
- Handle edge cases gracefully

## Output Format
Provide the complete code with:
1. Required imports/dependencies
2. Main login function
3. Helper functions
4. Example usage

Please specify the programming language/framework you'd like me to use.

🛠️ Commands

❓ FAQ

Q: Which LLM models are supported?
A: Any OpenAI-compatible API (GPT-4, GPT-3.5, Claude, etc.)

Q: Is my API key secure?
A: Yes, it's stored in VS Code's secure settings storage

Q: Why am I getting "Rate limit exceeded"?
A: Your API key has hit its usage limit. Check your OpenAI dashboard or try a different model like gpt-4o-mini

Q: Can I use this offline?
A: No, it requires an internet connection to reach the LLM API

📝 Changelog

See CHANGELOG.md for version history.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👨‍💻 Author

Santan Sharma

• GitHub: @SantanSharma
• Email: santansh47@gmail.com

⭐ Support

If you find PromptLint helpful, please:

• ⭐ Star the repository
• 📝 Leave a review on the VS Code Marketplace
• 🐛 Report issues on GitHub

Made with ❤️ by Santan Sharma