nateberkopec

#!/usr/bin/env bash
set -uo pipefail

usage() {
  echo "heroku-inventory: Catalog Heroku resources" >&2
  echo "" >&2
  echo "Usage:" >&2
  echo "  heroku-inventory --team <team-name>" >&2
  echo "  heroku-inventory --app <app-name>" >&2
  echo "" >&2

nateberkopec

Worker TERM/restart benchmark (Docker + k6)

This benchmark reproduces the scenario discussed in chat:

• 4 Puma workers
• open-model traffic at 12 req/s (k6 constant-arrival-rate)
• synthetic Rack app with ~250ms service time
• service alternates CPU and IO slices randomly every ~10ms
• compare threads=5 vs threads=25
• during traffic: kill one worker, wait for restart, let it serve ~5s, then kill a different worker (round-robin)

nateberkopec

Unslopper local run notes

This repo is just a scratchpad for running the Unslopper model locally with llama.cpp.

What worked

• Install llama.cpp via Homebrew.
• Use the GGUF Q8_0 quant (the bf16 repo is too large for typical Mac memory).
• Use llama-completion with a Qwen-style chat template prompt file and --no-conversation so it does a single completion and exits.
• Redirect logs away from stdout so the output file is clean.

nateberkopec

FROM ruby:3.3-slim

RUN apt-get update \
  && apt-get install -y --no-install-recommends build-essential \
  && rm -rf /var/lib/apt/lists/*

RUN gem install puma -v 6.4.2

WORKDIR /app
COPY config.ru puma.rb /app/

nateberkopec

Protecting Against Autonomous Agent rm -rf Commands

Protecting Against Agent rm -rf Commands

AI coding agents can run shell commands. Sometimes they run rm -rf by mistake. This deletes files forever. While of course I always read and approve all tool calls manually, by hand, and never let my agents work except under direct supervision 100% of the time, sometimes I miss things.

How It Works

1. Hooks catch rm -rf before it runs
2. Refuse the command with a clear error telling you to use trash

nateberkopec

Puma JSON Logging Demo

This demo shows how to achieve JSON-formatted boot messages from Puma using existing configuration options. This is in response to GitHub Issue #3865.

Summary

Puma already supports custom log formatting via two DSL options:

1. log_formatter - A block that transforms each log message string

nateberkopec

# frozen_string_literal: true

require "bundler/inline"

gemfile(true) do
  source "https://rubygems.org"
  gem "rails", "~> 8.0"
  gem "sqlite3"
end

nateberkopec

Senior Product Engineer
Job Type: Full-time
Kaysville, UT and Remote (United States Only)
Salary Range: 180-220K DOE
Who We Are:
At Bark we’re doing something special to make the digital world a safer place for
children. Our work isn't just another job; it's a chance to make a real impact on the lives
of children and families.
Imagine using cutting-edge machine-learning to empower parents to partner with their
kids, providing them with the tools and alerts they need to ensure their child's safety and

nateberkopec

function gc-ai
    # Check required dependencies
    if not command -q gum
        echo "Error: gum is not installed. Install it from https://github.com/charmbracelet/gum"
        return 1
    end

    if not command -q bat
        echo "Error: bat is not installed. Install it from https://github.com/sharkdp/bat"
        return 1

nateberkopec

#!/bin/bash

set -e

if [ $# -eq 0 ]; then
    echo "Usage: gh_watch <github-pr-url>"
    echo "Example: gh_watch https://github.com/hyfn/xpo/pull/4974"
    exit 1
fi