If you’ve been using Claude Code, Cursor, or custom MCP servers to navigate large Go repositories, you’ve probably hit the "Context Wall." By default, AI coding agents navigate codebases using standard CLI tools like grep , cat , and find . In a compiled, strongly-typed language like Go, this creates two massive bottlenecks: Massive Token Waste: To find a single struct definition, the agent grep s a keyword, gets hundreds of noisy results, and decides to cat a 1,500-line file just to read a 10-line struct. Duck-Typing Hallucinations: Because Go uses implicit interfaces, grep is practically useless for answering the question: "Which structs actually implement the AuthService interface?" The agent ends up hallucinating implementations based on naming conventions. I got tired of watching Claude burn thousands of API tokens reading noisy tests and dependency injection wiring just to find a simple factory function. So, I built Gograph . What is Gograph?…