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The Shift of Agentic AI Towards Backend Engineering ===================================================
The Shift of Agentic AI Towards Backend Engineering ===================================================  ### swyx
@swyx
我已经说了三年了 :)
#### Aarno
@TheGlobalMinima · 9h ago
Been saying this for a year. Agentic AI is backend engineering far more than it is AI. This stands true for any technology, once you scale and abstract it enough, you’re only left with engineering problems.
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> Event driven systems
> Data pipelines
> Distributed systems
> API Design
> Observability / monitoring Show More
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Mar 14, 2026, 7:44 PM View on X
12 Replies
2 Retweets
42 Likes
5,121 Views  swyx @swyx
One Sentence Summary
swyx reinforces the view that Agentic AI is primarily a backend engineering challenge involving distributed systems and data pipelines.
Summary
In this tweet, swyx quotes and validates a perspective that Agentic AI, when scaled and abstracted, becomes more of a backend engineering discipline than a pure AI one. The content emphasizes that building robust AI agents requires traditional engineering expertise in areas such as event-driven systems, data pipelines, distributed systems, API design, and observability. swyx notes that he has been advocating for this 'AI as Engineering' perspective for three years, highlighting the convergence of AI development and robust software architecture.
AI Score
82
Influence Score 13
Published At Today
Language
English
Tags
Agentic AI
Backend Engineering
Distributed Systems
Software Architecture
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