Ralph Wiggum Tutorial: How to Run It Safely and Efficiently
There's a lot of hype about Ralph Wiggum in the AI coding community, and most people are getting it wrong. In this video, I break down how to run long-running autonomous agents safely, efficiently, and cost-effectively—covering both the official Claude Code plugin and the original bash loop method.
I share my complete setup: sandboxing, the plan.md, max iterations, and feedback loops so the agent can verify its own work.
The bash loop gives you fresh context windows per iteration—the plugin doesn't, and that matters more than you'd think.
⏱️ TIMESTAMPS
0:00 – Introduction & What is Ralph Wiggum
1:14 – When to use Ralph Wiggum
2:56 – Step 1: Safety with sandboxing
4:20 – Step 2: Planning with PRD
4:54 – Step 3: Creating plan.md
5:43 – Step 4: Creating activity.md
5:54 – Running with the Claude plugin
9:31 – Plugin limitations: single context window
10:28 – The bash loop method (recommended)
12:26 – Wrapping up
🔗 RESOURCES
GitHub Tutorial: https://github.com/JeredBlu/guides/bl...
Original Ralph Wiggum (ghuntley): https://ghuntley.com/ralph/
Claude Ralph Plugin: https://github.com/anthropics/claude-...
Anthropic's Long-Running Agents Blog: https://www.anthropic.com/engineering...
Claude Code Sandboxing Docs: https://code.claude.com/docs/en/sandb...
Boris Cherney's post: https://x.com/bcherny/status/20071798...
My video on Boris's approach: • Claude Code's Creator Has a Surprisingly V...
Spec-Driven Development video: • Claude Code is Going Spec-Driven (New Anth...
PRD Creator Tutorial: • MCP + Custom Instructions + Claude 3.7 = T...
Book a call with me → https://cal.com/jeredblu
Sponsorship inquiries → [email protected]
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