arockwell

var express = require('express');
var graphqlHTTP = require('express-graphql');
var { buildSchema } = require('graphql');
var fetch = require('node-fetch');

// Construct a schema, using GraphQL schema language
var schema = buildSchema(`
  type User {
    first_name: String
    last_name: String

arockwell

Keybase proof

I hereby claim:

• I am arockwell on github.
• I am alexrockwell (https://keybase.io/alexrockwell) on keybase.
• I have a public key ASAfWQFL_oX3tYueOlCBe14OrpANgsBgAY2qQUxEL2l67wo

To claim this, I am signing this object:

arockwell

// Handle scientific notation (e.g., 1.23e45 or 1e-10)
} else if grapheme == "e" || grapheme == "E" {
    if is_scientific {
        self.errors.push(LexError::new(
            graphemes.concat(),
            self.line,
            self.column,
            "number may not contain multiple exponential parts".to_owned(),
        ));
        return;

arockwell

// BEFORE: Complex, nested conditionals with inconsistent flow
// AFTER: State machine approach with clear phases

fn number(&mut self, graphemes: &[&str]) {
    let token_col = self.column - 2;
    let mut number = graphemes[self.column - 2].to_string();
    
    // Use an enum to track parsing state
    enum NumberState {
        Digits,           // Consuming integer digits

arockwell

fn number(&mut self, graphemes: &[&str]) {
    let token_col = self.column - 2;
    let mut is_float = false;
    let mut number = graphemes[self.column - 2].to_string();
    
    // Part 1: Handle integer part (required)
    while self.consume_digits(&mut number, graphemes) {}
    
    // Part 2: Handle decimal part (optional)
    if self.column - 1 < graphemes.len() && graphemes[self.column - 1] == "." {

arockwell

#!/usr/bin/env python3
"""
Hello World v2.0 - Now with 100% more snazz! ✨
"""

import random
import time
from datetime import datetime

def typewriter_effect(text, delay=0.05):

arockwell

PostgreSQL Knowledge Base for Millions of Markdown Files

A blazing-fast markdown document management system built with PostgreSQL and Fish shell. Handles everything from personal notes to millions of documents with smart tab completion and beautiful mdcat rendering.

Features

• 🚀 Scales to millions - Optimized indexes, parallel queries, batch operations
• 🔍 Full-text + Fuzzy search - PostgreSQL FTS with trigram support
• 📁 Project organization - Group documents by project with multi-level tab completion
• ⚡ Sub-second queries - Even with millions of documents

arockwell

emdx - Documentation Index Management System

A powerful command-line tool for managing your personal knowledge base with SQLite full-text search, Git integration, and a beautiful terminal interface.

Features

• 🚀 Unified CLI: Single emdx command with intuitive subcommands
• 🔍 Full-Text Search: SQLite FTS5-powered search with ranking and fuzzy matching
• 📝 Multiple Input Methods: Save files, create notes, pipe output, or paste from clipboard
• 🎨 Rich Terminal UI: Beautiful tables, markdown rendering, and syntax highlighting

arockwell

Building Background Execution + Log Viewer into EMDX

Implementation Roadmap

Phase 1: Core Infrastructure

1.1 Job Management System

# emdx/models/jobs.py
from dataclasses import dataclass

arockwell

tmux_command = f"claude-code --file {temp_path}"

tags = get_document_tags(doc_id)
if '🎯' in tags:  # Gameplan
    tmux_command = f"claude-code --execute-plan {temp_path}"
elif '🔍' in tags:  # Analysis
    tmux_command = f"claude-code --analyze {temp_path}"