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The “Multi-Agent” AI Bubble Just Burst. Here’s What Anthropic is Building Instead.
Stop burning cloud credits on chatty AI agents. Here is the exact modular “Skill” architecture top engineers use to actually ship code.
1. The multi-agent swarm hangover
We watched the demos. Five AI agents chatting in a terminal, building software autonomously. It looked like the future.
Then we tried running it on an actual codebase.
Within twenty minutes, the Product Manager agent hallucinated a requirement, the Architect agent built a broken schema, and the QA agent entered an infinite loop thanking the Engineer agent for trying its best.
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We burned $40 in API credits, generated zero working code, and polluted our terminal with ten thousand lines of conversational noise.
That was not autonomous software engineering. That was an unmanaged committee meeting running on a language model.
2. The physics of context rot
To understand why multi-agent swarms fail so reliably in production, you have to look at the mathematical reality of self-attention.
