I built Git for AI prompts — here's why and how

<p>If you're working with tools like ChatGPT, Claude, Gemini, or Midjourney daily, you probably ran into the same problem I did:</p> <p>👉 Your best prompts are scattered

Hey HN!<p>I am an avid terminal user who sees value in prompts executing like, and having the UX of native CLI programs, i.e., with --help, argument parsing, stdin&#x2F;stdout,

<p>Part 1 of this series covered the prompt library — 272 prompts for Python and backend development organized by task type. This is Part 2: the five CLI scripts that turn those

<p><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer

<h2> TLDR </h2> <p>Elgato Camera Hub has no export, no backup, and no way to recover scripts once they're gone. I built <strong>PrompterKit</strong> to fix this. It's a CLI and

<p>When I started learning Python a while back, I had ChatGPT open <br /> in one tab and the docs in another. The thing is — I was using <br /> ChatGPT wrong. I'd type "explain

<p>A few months ago I had a question that didn't let me sleep. When people ask ChatGPT "what's the best tool for X", which brands actually get mentioned? And more importantly:

<h1> Built a Conventional Commits CLI with free AI tools (zero cost) </h1> <p>Staring at a staged diff trying to summarize it in one sentence is a tax every developer pays. "fix