For the complete documentation index, see llms.txt. This page is also available as Markdown.

Before we start

WedoLow MCP Server

WedoLow MCP Server connects beLow to your AI coding agents for intelligent, automated optimization. Guide code generation with real performance data.

Core Capabilities

Project-Aware Intelligence

  • Complete access to your project structure and dependencies

  • Full visibility into compilation environment and build configuration

  • Understanding of target platform and optimization constraints

  • Context-driven AI optimization suggestions

Iterative Optimization Loop

  • AI analyzes code and identifies optimization opportunities

  • Real-time performance feedback and metrics gathering

  • Automated application of optimizations

  • Refinement based on measured results

How It Works

Setup — Install MCP Server alongside beLow and configure your project

Connect — Link your AI agent (GitHub Copilot, Claude, Gemini, or other MCP-enabled LLM)

Optimize — Ask your AI agent to analyze and optimize your code

Iterate — AI refines optimizations based on performance metrics and your feedback

Deploy — Use optimized code in production

Supported AI Platforms

  • GitHub Copilot (VS Code & JetBrains) with GPT-4.1 and Claude Sonnet 4

  • Claude (any MCP-enabled integration)

  • Gemini CLI and Gemini Pro 2.5

  • Junie (Beta) for JetBrains CLion

  • Any MCP-enabled AI agent

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