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

A new review paper argues that the software layer—including tools, memory, testing, and permissions—is the true bottleneck for autonomous AI agents, not the language model itself. DeepSeek is already building a dedicated "Harness" team in Beijing, operating on the formula that a model plus a harness equals a working AI agent. The paper contends that code is how AI agents think and act, not just what they produce.

A new review paper argues that the real bottleneck for autonomous AI agents isn't the language model itself but the software layer wrapped around it. Tools, memory, testing, and permission boundaries turn a stateless model into a working agent. Deepseek is already building a dedicated "Harness" team in Beijing with a core formula that confirms the thesis: model plus harness equals AI agent. The article New review paper argues code is how AI agents think and act, not just what they produce https://the-decoder.com/new-review-paper-argues-code-is-how-ai-agents-think-and-act-not-just-what-they-produce/ appeared first on The Decoder https://the-decoder.com .