What Is a Harness? The Software Layer That Makes LLMs Actually Useful

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A harness is a software layer that wraps around a large language model (LLM), responsible for constructing prompts and translating the model's responses into executable actions. Because LLMs have no built-in memory, the harness must compile and resend the entire conversation history — along with system instructions and available tools — with every new user interaction. Products like ChatGPT, Claude Code, and Cursor all implement their own harness engineering around underlying models. For end users, this architecture means that longer, topic-mixed conversations can increase the risk of the model producing inaccurate responses. For developers building AI-integrated applications, managing this context window — deciding what information to include, how to structure it, and how to handle the model's output — becomes a core engineering responsibility.

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