Context Engineering and Harness Engineering: Building Reliable AI Agents Beyond Prompts

Context engineering is crucial for building reliable AI agents beyond prompts. It involves curating the right information for the model to make informed decisions. Unlike prompt engineering, context engineering focuses on what information the model should have available at a particular moment. A good context-engineering system maximizes signal rather than volume to avoid overwhelming the model. Developers should carefully manage context to ensure optimal model performance.