Unverified50% confidenceOpinionExact time
The formula for an agent can be summarized as: Agent = Model + Harness + MCP + Skills + Sandbox + Production Layer, where the model accounts for only about 20% and the remaining 80% is infrastructure.
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50%
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Long-term
Relevance
9/25/2026
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Related Claims
UnverifiedThe author believes that model capability accounts for only half of an AI programming assistant, and that the Harness framework is the key to unlocking the model's potential.72% similarVerifiedAssigning each agent a dedicated capability boundary and prompt often outperforms having a single model handle everything, a principle that is connected to the effectiveness of chain-of-thought prompting.71% similarUnverified智能体的智能来自模型本身，工程只是提供一个能持续获取反馈和行动的最小闭环70% similarUnverifiedIn the AI field, pure execution skills are easily diluted by tool and model iterations, while strategic capabilities—understanding system connections and taking responsibility for business outcomes—are scarcer and more enduring in value.70% similarUnverifiedThe community believes that the true measure of an agentic model is instruction following ability, which is considered more critical than peak intelligence.69% similar
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