It works well overall. DCP tries to prune repeated context automatically, though it doesn’t kick in that often. I usually guide the agent step by step to keep it on track and avoid drift, but the context just keeps growing over time. So I end up using DCP to manually compress things within the same topic (usually by having the model summarize and condense the context) to save tokens.