Ralph Wiggum: Autonomous Loops for Claude Code
The official Claude Code plugin that lets agents work autonomously for hours. When to use it, when not to, and the philosophy behind letting AI fail repeatedly until it succeeds.
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The official Claude Code plugin that lets agents work autonomously for hours. When to use it, when not to, and the philosophy behind letting AI fail repeatedly until it succeeds.
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Two weeks after Kiro deleted a production environment, Amazon.com itself went down for 6 hours. 1,500 engineers are petitioning for Claude Code. The safeguards are arriving after the damage.
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Boris Cherny shared his workflow for the tool he built. The setup is surprisingly vanilla. The philosophy is worth studying.
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Anthropic's new auto mode replaces manual permission prompts with an AI classifier. It's a clever solution to a real problem - but the problem it's solving is that the human in human-in-the-loop was never really there.
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The litellm supply chain attack exfiltrated SSH keys, cloud credentials, and Kubernetes secrets from 97 million monthly downloads. A security scanner was the entry point. The scariest part: it was caught by accident.
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Anthropic shipped Claude Code Channels - text your agent from Telegram. It's OpenClaw's core feature, rebuilt as a platform primitive. The absorption pattern completes its biggest cycle yet.
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FameCake's AI journey: from 15 style transforms as the headline feature to content moderation and outpainting as the survivors. What five months taught us about AI in products.
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Anthropic made 1M context first-class for Opus and Sonnet at flat pricing. No beta header, no premium. When context is abundant, the workflows change.
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Eight days after Karpathy open-sourced autoresearch, the community ported the pattern to GPU kernels, security hardening, Apple Silicon, and agent optimization. The loop - one file, one metric, git as memory - turns out to be the interesting part.
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Karpathy's autoresearch gives an AI agent a training script, a GPU, and a git branch. It runs 100 experiments overnight, keeps what works, discards what doesn't. The human writes the prompt. The agent writes the code.
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The bottleneck isn't AI capability - it's that developers lack design vocabulary. Impeccable bridges the gap, and the Tessl benchmarks prove it: 1.59x improvement over baseline.
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Prompt injection through pull requests, GitHub Issues, and CI/CD pipelines is turning AI coding assistants into weapons against the developers who use them. The 2026 attack surface nobody's talking about.
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Anthropic is locking AI capability behind enterprise tiers while competitors only gate compliance. Claude Code's individual users are funding the R&D for features they'll never access.
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A German general's 1933 framework for categorizing officers maps perfectly to engineers using AI. The most dangerous quadrant - stupid and industrious - is exactly what AI amplifies.
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Claude Code shipped /loop - cron-based scheduled tasks. It's not Ralph Wiggum. It's what happens when the platform asks 'what's the simplest version of this pattern?'
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