Decoding AI’s Open-Source Course Maps Three Ways to Run an Agent Loop and the Provider Economics Behind Each

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Decoding AI’s Open-Source Course Maps Three Ways to Run an Agent Loop and the Provider Economics Behind Each
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<p>Most teams treat &#8216;which model&#8217; as the important decision. The harness engineering literature keeps pointing somewhere else. In LangChain&#8217;s Terminal-Bench experiment, changing only the harness—same model throughout—moved a coding agent from roughly 30th place into the top 5. That result reframes the question. If the harness decides quality, then how you run the loop becomes [&#8230;]</p> <p>The post <a href="https://www.marktechpost.com/2026/08/22/decoding-ais-open-source-course-maps-three-ways-to-run-an-agent-loop-and-the-provider-economics-behind-each/">Decoding AI&#8217;s Open-Source Course Maps Three Ways to Run an Agent Loop and the Provider Economics Behind Each</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>

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