Your AI Agent Wastes 87% of Its Tokens Just Finding Code. I Fixed That.

Or: How I Stopped Worrying and Learned to Love the Trigram You know that feeling when you ask an AI agent to fix a simple bug, and it spends 45 seconds reading your entire codebase before changing 3 lines? I do. I watched it happen. Repeatedly. So I decided to count exactly how bad it was. Turns out, 60-80% of the tokens your AI agent consumes go to navigation -- searching for code, reading files, searching again, reading more files. Not reasoning. Not writing code. Just finding things. It's like hiring a plumber who spends 4 hours opening every door in your house before fixing the one leaking pipe in the bathroom. So I built Hypergrep . And the plumber now has a floor plan. Table of Contents The Problem Nobody Talks About The Experiment How Hypergrep Works The Secret Sauce: Semantic Compression Real Benchmarks (No Hand-Waving) The Feature That Changes Everything Everything Else It Does What I Got Wrong The Prior Art Install and Try It The Problem Nobody Talks About Every AI coding age