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PromptGen

Transform simple questions into comprehensive, context-aware prompts by leveraging advanced prompt engineering techniques and local code context.

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PromptGen is a local server designed to enhance user questions into highly effective, context-aware prompts for large language models. It intelligently selects optimal prompt engineering techniques from a hosted API and integrates relevant code context directly from the user's local machine, ensuring that sensitive code never leaves the local environment. This privacy-first architecture provides comprehensive, structured prompt outputs, making interactions with AI more precise and relevant, especially for developer-centric queries related to code optimization, debugging, and architecture.

Características Principales

  • PromptGen API Integration for hosted technique database
  • Local Code Context Scanning for privacy-preserving analysis
  • Intelligent Technique Selection powered by AI
  • LLM-Powered Question Analysis for enhanced understanding
  • True MCP Architecture for seamless Cursor integration
  • 1 GitHub stars

Casos de Uso

  • Code Optimization: Get structured analysis with relevant code context
  • Architecture Decisions: Receive comprehensive comparisons with examples
  • Debugging Help: Get systematic debugging approaches with code snippets