Devs: if you’re already experimenting with the Ralph Wiggum Way… This makes it usable. And if your team is using Claude Code or other agents, I’m doing hands-on training to help teams stop supervising and start delegating. DMs open 🚀

It’s fully open source 👇 https://t.co/uGu87ZLZEV Built for Claude Code today Adaptable to other coding agents tomorrow This is about moving from: ❌ “AI-assisted coding” ➡️ ✅ AI-run execution loops

Getting started: npx ralph-wiggum-ui init npx ralph-wiggum-ui serve Open localhost:3210 Point it at your repo Start shipping the Ralph Wiggum Way™

Real-world test: I asked Claude to implement a feature for a mobile app. Tasks generated. Hit AFK Mode. Went to make chai ☕️. 22 minutes later: Feature done. App running. No babysitting.

Example: Prompt: "Add JWT-based user authentication" Ralph Wiggum UI generates: → scoped, atomic tasks → clear success conditions → zero ambiguity Claude succeeds because the tasks are designed to succeed.

The actual magic 🪄 Each task has explicit acceptance criteria. Claude doesn't "feel" done. It verifies done. If criteria pass → move on If not → keep working This is why the Ralph Wiggum Way works.

What you get: • Visual Kanban board for AI tasks • AFK Mode — let Claude Code run unattended • AI task generation from plain English • Real-time logs (watch Claude read + write code) • Run tasks out of order when priorities shift

So I built Ralph Wiggum UI A UI layer on top of the Ralph Wiggum Way. Think: 🧠 autonomous agents 📋 visible task state 😴 zero babysitting

The problem: Most implementations of the Ralph Wiggum Way live in: – bash scripts – JSON files – terminal logs – constant manual checking Effective? Yes. Ergonomic? Absolutely not.

If you’ve seen “the Ralph Wiggum Way” floating around: It’s not a prompt. It’s not a meme .. It’s an execution pattern: Give the AI a goal → break it into atomic tasks → let it loop until done.

The "Ralph Wiggum Way" is taking over X, so... Introducing Ralph Wiggum UI A visual Kanban board for running Claude Code autonomously. Queue tasks → hit AFK Mode → wake up to completed features. Repo 👇 https://t.co/uGu87ZLZEV 🧵⬇️

It's fun to push coding agents to see what can be built and instead of relying on just one model or service, I like to think of all of these agents as my extended team members. This product was built by: @OpenAI GPT 5.2, @AnthropicAI Claude Code, and @Lovable ❤️

So I built something. Presenting GlowFrame ( https://t.co/sEpje4MZKR) An easy way to turn your screen into extra lighting to help improve your video recording quality.

If you are a recent grad and looking to start something, this is a good place to start. :)

Chatterbox might be the biggest drop in AI audio yet: -Open source -Voice cloning with 5 seconds of audio -Exceeds Elevenlabs in user satisfaction @resembleai does it again. Amazing.

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leave it to @Google to make it impossible to signup for Google AI Ultra plan if you are subscribed to Google One plan... am I missing something?