When AI Code Review Saves 82x Tokens!
Cut AI coding costs by 82x with code-review-graph. Smart dependency graph filters context, speeds reviews, and saves tokens for large repos.
Most AI coding tools default to “the more context, the better,” but the reality is exactly the opposite.
Precise, structured context is far superior to massive amounts of raw text.
Just a few days ago, I discovered an open-source project called code-review-graph. Its slogan is straightforward: “Stop burning tokens. Start reviewing smarter.”
The core idea of this project is exactly what I’ve been doing manually, but it fully automates the entire process. It builds a structured dependency graph of the codebase, allowing AI assistants to read only the truly relevant files.
