[P] I cut my Claude Code token usage by using HDC as a context engine for my source tree

If you’re running Claude Code or Kiro regularly, you’re probably burning a few million tokens a week just on development. I’ve been building an HDC (hyperdimensional computing) platform called Glyphh for about two years, and I recently found a way to use it as a context layer that sits in front of Claude to cut that burn way down. Here’s how it works: We encode your entire source tree into Glyphh’s HDC vector space. Then we hook into Claude Code’s pre-search and pre-edit flow so that before Claude reads or edits any file, it hits our model first.