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AI-Powered Code Editor Cursor Introduces Dynamic Context Discovery to Improve Token-Efficiency

AI-Powered Code Editor Cursor Introduces Dynamic Context Discovery to Improve Token-Efficiency

Cursor introduced a new approach to minimize the context size of requests sent to large language models. Called dynamic context discovery, this method moves away from including large amounts of static context upfront, allowing the agent to dynamically retrieve only the information it needs. This reduces token usage and limits the inclusion of potentially confusing or irrelevant details.

By Sergio De Simone