👉 Context engineering is an approach within software development and data science that focuses on designing and maintaining the context in which data and models operate to ensure they remain relevant, accurate, and effective over time. It involves understanding the dynamic environment in which data is generated, consumed, and used, including changes in user needs, data sources, and business requirements. By proactively managing this context, engineers can create systems that adapt to these changes, maintain data quality, and ensure that models remain aligned with their intended applications. This process often includes continuous monitoring, updating data pipelines, and implementing feedback loops to refine models based on new context, ultimately enhancing the reliability and performance of data-driven solutions.
