Ralph Wiggum codes now. Why “iterate until done” may define the future of coding AI, Claude Code, and AI agents. In this episode, we argue about one of the strangest ideas in modern AI programming: what if the future isn’t smarter models—but agents that never stop retrying?

We break down the Ralph Wiggum plugin for Claude Code, the promise and danger of infinite iteration, and why blind persistence can feel like progress while quietly shipping nonsense. Hunter explains how test-driven AI development actually works in production, while Daniel pushes back on confidence without understanding, fake tests, and agents that never ask questions.

This isn’t a tutorial. It’s a debate about where software development is heading—and whether senior engineers are being replaced, or quietly promoted to managers of AI agents.

If you’re experimenting with coding AI, Claude Code, AI agents, or trying to understand what “AI-native development” really means, this one’s required listening.

⏱️ CHAPTERS

00:00 Ralph Wiggum Coding AI Explained – Persistent agents, Claude Code & infinite retries
04:20 Iterate Until Done in AI Coding – Why looping agents help, fail, and confidently lie
08:15 Test-Driven AI Development – Acceptance criteria, fake tests & shipping with AI
15:30 Vibe Coding with AI Agents – 16 parallel agents & AI-native developers
26:20 The Future of Coding AI – Speed, context windows & autonomous software

⚡ Listen now & get self-aware before your tools do.

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📢 Engage

Be honest: would you trust a coding AI that never asks questions & only retries?
Comment with where you draw the line between persistence and competence.

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🧠 They Might Be Self-Aware — but are we?