Claude Code's Hidden Multi-Agent System
Anthropic built a full multi-agent orchestration system into Claude Code. It's feature-flagged off. The community found it anyway.
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Anthropic built a full multi-agent orchestration system into Claude Code. It's feature-flagged off. The community found it anyway.
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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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Anthropic credits Steve Yegge's Beads as inspiration for Claude Code's new task system. The pattern-to-product cycle continues.
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Anthropic's latest model didn't just improve benchmarks. It crashed software stocks, found 500 zero-days, and coined a term that tells you where this is heading.
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GPT-5.3-Codex is a genuinely strong model that deserved its own headline. Instead, Sam Altman's 400-word Super Bowl rant stole launch day from his own product.
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Two weeks ago we found TeammateTool hiding in Claude Code's binary. Now it's official. Here's what changed, what didn't, and what the docs reveal about where multi-agent is heading.
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Salesforce quietly walked back autonomous AI agents to deterministic scripting. The pattern reveals when LLMs work - and when they don't.
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Claude Code's playground plugin generates interactive HTML explorers for visual configuration. Four modes for design, data, concepts, and document review. The copy-prompt-back loop as a new interaction pattern.
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Boris Cherny followed up his personal workflow with tips from across the team. Same tool, different people, different approaches. The patterns worth stealing.
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OpenClaw went from 0 to 111K GitHub stars in two months. It also went from 0 to hundreds of exposed instances with full credentials in Shodan. The security story nobody wants to hear.
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When AI agents started posting on their own social network about shared context limit problems, I realized we're not building tools anymore. We're raising digital pets.
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100k+ GitHub stars across frameworks that reimport waterfall, simulate org charts, and fight how LLMs actually work. The Claude Code ecosystem is speed-running a mistake every dev paradigm makes.
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AI tools that democratize code creation are DDoSing the review layer. Creation now runs at machine speed. Review remains human speed. The asymmetry is crushing maintainers.
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People are buying Mac Minis to run an open-source AI assistant built by a retired iOS dev. Meanwhile Apple pays Google $1B/year because they still can't build a real AI.
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For compliance, privacy, or just freedom from cloud dependencies - here's how to run Claude Code with local models via Ollama. No API calls leaving your machine.
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