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E2E

Automates the validation of AI-generated code through end-to-end testing.

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E2E provides an MCP server designed to streamline the process of validating AI-generated code. By integrating with AI IDEs like Cursor or Windsurf, it enhances the "Vibe Coding" workflow. It leverages the Model Context Protocol (MCP) to connect AI agents with the system's source code, reducing friction in the interaction between context and the AI, ultimately simplifying the creation and testing of AI-driven applications.

Características Principales

  • Integrates with AI IDEs like Cursor and Windsurf
  • Supports any LLM provider (e.g., OpenAI)
  • Enables end-to-end testing for AI-generated code
  • 0 GitHub stars
  • Uses Model Context Protocol (MCP)

Casos de Uso

  • Streamlining the development workflow with AI IDEs
  • Improving the reliability of AI-driven applications
  • Automated testing of code generated by AI models
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E2E: Automate AI Code Testing with End-to-End Validation