While working on a proof of concept project, I kept hitting Claude's token limit 30-60 minutes into their 5-hour sessions. The accumulating context from the codebase was eating through tokens fast. So I built a language designed to be generated by AI rather than written by humans.GlyphLangGlyphLang replaces verbose keywords with symbols that tokenize more efficiently: # Python @app.route('/users/<id>') def get_user(id): user = db.query("SELECT * FROM users WHERE id = ?", id) return jsonify(user...