In AI products, context refers to the content, tools, and instructions provided to a model at any given moment. Because AI models have context limits, what's included (aka what a model is paying attention to) has a massive impact on results. So context management is key to letting people understand and shape what AI products produce.

In Context Management UI in AI Products I looked at UI patterns for showing users what information is influencing AI model responses, from simple context chips to nested agent timelines. This time I want to highlight two examples of automatic and manual context management solutions.

Augment Code's Context Engine demonstrates how automatic context management can dramatically improve AI product outcomes.…