@VincentLogic: AI coding assistants scan the entire project every time they modify code, and the token consumption breaks my heart. After installing CodeGraph, it no longer fumbles around like a headless fly using grep to search files. It first builds a local index graph, organizing function definitions, variable references, and call relationships. When AI needs to work, it directly queries…

AI coding assistants scan the entire project every time they modify code, and the token consumption breaks my heart. After installing CodeGraph, it no longer fumbles around like a headless fly using grep to search files. It first builds a local index graph, organizing function definitions, variable references, and call relationships. When AI needs to work, it directly queries the graph to get data, without having to repeatedly read files. In real-world testing on large projects like VS Code with tens of thousands of files, the number of tool calls dropped from 52 to 3, speed increased by 40%, and tokens were saved by nearly 60%. It runs entirely locally, code is not uploaded, compatible with Claude Code and Cursor. From now on, when asking AI to modify large projects, you won't have to tremble while looking at the bill. When you usually ask AI to write code, do you throw in the entire repository or just give it the current file?