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AI agents' core capability lies in software infrastructure, not just models

A recent review paper posits that the critical factor for advanced AI agents is not the language model's core capabilities, but rather the surrounding software infrastructure. This infrastructure, encompassing tools, memory, testing, and permission systems, transforms a basic model into a functional agent. Deepseek is reportedly developing a specialized 'Harness' team to implement this concept, suggesting a growing industry focus on agent architecture. AI

IMPACT Focus on agent software infrastructure could accelerate the development of more capable and reliable autonomous AI systems.

RANK_REASON The cluster is centered around a review paper discussing AI agent architecture. [lever_c_demoted from research: ic=1 ai=1.0]

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

AI agents' core capability lies in software infrastructure, not just models

COVERAGE [1]

  1. The Decoder TIER_1 English(EN) · Jonathan Kemper ·

    New review paper argues code is how AI agents think and act, not just what they produce

    <p><img alt="Four modular code agents on a rail network orbit a luminous data sphere in front of a circuit board pattern" class="attachment-full size-full wp-post-image" height="1025" src="https://the-decoder.com/wp-content/uploads/2026/05/Code-Agent-Harness-Nano-Banana-Pro.jpg" …