Every time I started a new AI chat session, it read my entire codebase. 50 files. Thousands of...
FolioDux cuts AI tokens 4000→300 per request: a Markdown standard teaches AI to read only relevant project files. For AI-heavy teams, it slashes token spend and latency; tool-agnostic (Claude, ChatGPT, Gemini) with no config enables immediate adoption.
Every time I started a new AI chat session, it read my entire codebase.
50 files. Thousands of tokens. On every single message. Whether I was asking about authentication, database schema, or a single UI component — the AI read everything.
I'm 16 and building AI-powered products. Token costs add up fast. Context windows fill up. The AI loses track of older files. Responses slow down.
So I built something to fix it.
The Problem
The silent tax every developer pays Every session starts from zero. The AI does not know...
Every AI session I had started with the same silent ritual. Open the project. Figure out which files...
Last month I watched a developer exhaust their Claude usage limit in less than a week. They weren't...
Almost all of your AI coding agent's token waste comes from five mechanical leaks — cache misses, context bloat, idle MCP…
as developers, we are spending more and more time working alongside AI coding agents like Cursor,...
Most of us use AI coding tools in a very normal way. We paste an error, ask for a fix, paste a file,...
