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The New Big Ball of Mud: Fragility in Agentic AI Systems
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Originally published on NNGroup
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Summary & Key Takeaways
- Agentic AI systems are prone to becoming fragile and difficult to manage.
- The low cost of building with AI encourages piecemeal system growth.
- This leads to complex systems that developers struggle to understand.
- The article draws parallels to the "Big Ball of Mud" anti-pattern in software.
Our Commentary
This title alone is a gut punch. 'Big Ball of Mud' is a classic software architecture anti-pattern, and seeing it applied to AI agents is unsettling. We've all seen systems grow organically into unmanageable messes. The idea that AI's ease of use could accelerate this fragility is a serious concern. I think this is a crucial conversation for the future of AI development.
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