AI Distiller (aid)
Note: This is the very first version of this tool. We would be very grateful for any feedback in the form of a discussion or by creating an issue on GitHub. Thank you!
🚀 MCP Server Available: Install the Model Context Protocol server for AI Distiller from NPM: @janreges/ai-distiller-mcp - seamlessly integrate with Claude, Cursor, and other MCP-compatible AI tools!
Do you work with large-scale projects that have thousands of files and functions? Do you struggle with AI tools like Claude Code, Gemini, Copilot, or Cursor frequently "hallucinating" and generating code that looks correct at first glance but is actually incompatible with your project?
The problem is context. AI models have a limited context window and cannot comprehend your entire codebase. Instead, AI agents search files, "grep" for keywords, look at a few lines before and after the found term, and try (often, but not always) to guess the interface of your classes and functions. The result? Code full of errors that guesses parameters, returns incorrect data types, and ignores the existing architecture. If you are a sophisticated user of AI agents (vibe coder), you know that you can help yourself by instructing the AI agent to consistently write and run tests, using static code analysis, pre-commit hooks, etc. - the AI agent will usually fix the code itself, but in the meantime it will take 20 steps and 5 minutes. On the other hand, it must be admitted that if you pay for each AI request (and large context is an expensive factor) and are not "playing for time", you may not mind this limited context approach.
