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Agentic AI design prioritizes LLM and tool selection over system architecture

By PulseAugur Editorial · [1 sources] ·

The design of Agentic AI systems often begins with questions about which Large Language Model (LLM) to employ and how to integrate tools like LangGraph and MCP. This approach focuses on the technical components rather than the overarching system architecture. AI

IMPACT This commentary suggests a need for a more holistic approach to Agentic AI design, potentially influencing future development methodologies.

RANK_REASON The item discusses a pattern in designing Agentic AI systems, offering an opinion on the approach rather than announcing a new release or significant event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Agentic AI design prioritizes LLM and tool selection over system architecture

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The item discusses a pattern in designing Agentic AI systems, offering an opinion on the approach rather than announcing a new release or significant event.
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    There is a pattern I keep seeing when designing Agentic AI systems. We start by asking: Which LLM should we use? Should we use LangGraph? Where can MCP fit? Sho

    There is a pattern I keep seeing when designing Agentic AI systems. We start by asking: Which LLM should we use? Should we use LangGraph? Where can MCP fit? Should we build multiple agents? Do we need RAG? Should we add memory? Should every step be handled by an autonomous agent?…

    LINKS dev.to/…/stop-designing-agentic-ai-system…

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