Agent Loop and Harness: A Practical Engineering View of AI Operations
The article discusses the engineering aspects of AI operations, focusing on the roles of AI models and their surrounding systems. It emphasizes the importance of the agent harness, which controls and observes the operations of AI agents. The piece outlines the agent loop, detailing how AI agents complete tasks through a structured cycle of reasoning and action.
- ▪The agent harness is crucial for managing how AI models operate in real environments.
- ▪An agent loop consists of a repeated cycle of receiving goals, deciding actions, and observing results.
- ▪A strong harness can enhance the performance of a weaker model by providing clear instructions and reliable tools.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3932577) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mike Anderson Posted on May 21 Agent Loop and Harness: A Practical Engineering View of AI Operations #agents #ai #architecture #security Friendly engineering notes for teams building, evaluating, securing, and operating AI agents in real environments. Opening When engineers talk about AI agents, the conversation often jumps straight to the model: GPT, Claude, Gemini, Llama, Qwen, or another foundation model. That is understandable. The model is the most visible part of the system.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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