Prompter

Code smarter with AI—no more messy copy-pasting. Prompter structures your prompts and applies AI changes seamlessly, streamlining your coding workflow.

Why Prompter?

• Too much bloat in your repo? Stop zipping everything—send only the files that matter.
• LLM underperforming? Cut the noise for sharper, more accurate responses.
• Better AI coding? Select just the right context to optimize results.

Prompter empowers you to work efficiently with AI, reducing token waste and improving clarity.

Features

• Advanced File Selection & Token Estimation Precisely filter files and estimate token usage instantly for optimized, cost-effective prompts.

• Optimized XML Prompt Structured file trees, CodeMaps, content, and instructions in XML for maximum LLM clarity.

• Structured XML Diffs Converts LLM-generated XML edits into precise, reviewable diffs—works at any file size.

• Codemap Extraction Scans files locally to extract classes, functions, and references, minimizing tokens and hallucinations. Auto-detects referenced types.

• Mac-Native Performance Built for macOS with native speed and responsiveness—because performance matters.

• Clipboard Integration Copy structured prompts into any AI chat app—your data stays local, no external API needed.

• Works with Any Model Compatible with OpenAI, Anthropic, DeepSeek, Gemini, Azure, OpenRouter, and local models—private and offline when you need it.

• Privacy First Local models, offline scanning, and direct clipboard use—no intermediaries required.

Installation

(Note: Installation steps are assumed based on the VS Code context from other files. Adjust as needed.)

1. Clone the repository:

   git clone <repository-url>
   

2. Open the project in VS Code.
3. Install dependencies:

   npm install
   

4. Build the extension:

   npm run compile
   

5. Press F5 in VS Code to launch the extension in a development window.

Usage

1. Open your project in VS Code.
2. Use the Prompter interface to select files and estimate tokens.
3. Generate a structured XML prompt via the clipboard.
4. Paste into your preferred AI model (e.g., ChatGPT, Claude, or a local LLM).
5. Apply the returned XML diffs directly through Prompter for seamless integration.

Contributing

We welcome contributions! To get started:

1. Fork the repository.
2. Create a feature branch: git checkout -b my-feature.
3. Commit your changes: git commit -m "Add my feature".
4. Push to your branch: git push origin my-feature.
5. Open a pull request.

See vsc-extension-quickstart.md for development setup and testing details.

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Built with ❤️ by the Prompter team.

Code smarter with AI—no more messy copy-pasting. Prompter structures your prompts and applies AI changes seamlessly, streamlining your coding workflow.

Why Prompter?

• Too much bloat in your repo? Stop zipping everything—send only the files that matter.
• LLM underperforming? Cut the noise for sharper, more accurate responses.
• Better AI coding? Select just the right context to optimize results.

Prompter empowers you to work efficiently with AI, reducing token waste and improving clarity.

Features

• Advanced File Selection & Token Estimation Precisely filter files and estimate token usage instantly for optimized, cost-effective prompts.

• Optimized XML Prompt Structured file trees, CodeMaps, content, and instructions in XML for maximum LLM clarity.

• Structured XML Diffs Converts LLM-generated XML edits into precise, reviewable diffs—works at any file size.

• Codemap Extraction Scans files locally to extract classes, functions, and references, minimizing tokens and hallucinations. Auto-detects referenced types.

• Mac-Native Performance Built for macOS with native speed and responsiveness—because performance matters.

• Clipboard Integration Copy structured prompts into any AI chat app—your data stays local, no external API needed.

• Works with Any Model Compatible with OpenAI, Anthropic, DeepSeek, Gemini, Azure, OpenRouter, and local models—private and offline when you need it.

• Privacy First Local models, offline scanning, and direct clipboard use—no intermediaries required.

Installation

(Note: Installation steps are assumed based on the VS Code context from other files. Adjust as needed.)

1. Clone the repository:

   git clone <repository-url>
   

2. Open the project in VS Code.
3. Install dependencies:

   npm install
   

4. Build the extension:

   npm run compile
   

5. Press F5 in VS Code to launch the extension in a development window.

Usage

1. Open your project in VS Code.
2. Use the Prompter interface to select files and estimate tokens.
3. Generate a structured XML prompt via the clipboard.
4. Paste into your preferred AI model (e.g., ChatGPT, Claude, or a local LLM).
5. Apply the returned XML diffs directly through Prompter for seamless integration.

Contributing

We welcome contributions! To get started:

1. Fork the repository.
2. Create a feature branch: git checkout -b my-feature.
3. Commit your changes: git commit -m "Add my feature".
4. Push to your branch: git push origin my-feature.
5. Open a pull request.

See vsc-extension-quickstart.md for development setup and testing details.

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Built with ❤️ by the Prompter team.