Blindspot

Blindspot serves as a critical external brain for AI coding agents, addressing the inherent limitations of their context windows. By indexing an entire codebase using tree-sitter and understanding framework-specific intricacies, it provides structured intelligence via the Model Context Protocol (MCP). This powerful approach allows AI to access full project awareness—including relationships, routes, and ripple effects of changes—without consuming vast amounts of tokens by reading numerous files. Running entirely locally to ensure privacy, Blindspot dramatically reduces token usage (up to 97%), minimizes broken code, and enables even smaller, faster, or local LLMs to perform complex, project-aware coding tasks with high accuracy and efficiency, making them behave like they've memorized the entire codebase.

Key Features

Use Cases