CodeGraph: 2x Efficiency, 35% Lower Cost

CodeGraph: 35% lower cost, 46% faster AI coding. Pre-built code graphs replace slow file scanning for Claude Code, Cursor and more.

After using Claude Code for a long time, one very clear observation stands out: every time you ask it “how is this feature implemented,” it spends a significant amount of time exploring the codebase.

It first launches an Explore sub-agent, then uses grep to search for keywords, glob to locate relevant files and read the content of each file one by one. The whole process is not only slow but also painful to watch as tokens burn through at an alarming rate.

This is especially true with large codebases like VS Code, which contains tens of thousands of files. The exploration phase alone can consume more than half of the budget. Sometimes a simple architectural question results in an exploration report that’s longer than the actual answer.

Claude Code also frequently falls into loops, repeatedly reading the same files or searching for related but ultimately irrelevant keywords.

This isn’t an isolated issue. Friends using Cursor, Codex CLI, and similar tools report the same frustrations. Everyone is wondering: is there a way to make AI coding assistants smarter, so they don’t have to explore every codebase from scratch like it’s their first time seeing it?

The answer is yes — and someone has already built it.